diff --git a/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md b/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md index 99a90a4..4218484 100644 --- a/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md +++ b/content/en/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md @@ -29,7 +29,7 @@ How can researchers harmonise such complex measures? One option would be to stan An alternative approach is to apply retrospective harmonisation at the item-level. Although questionnaires can differ considerably on the number and nature of questions asked, there is often considerable overlap at the [semantic](https://harmonydata.ac.uk/semantic-text-matching-with-deep-learning-transformer-models)/content level. Let’s return to our earlier example of depression. Although there are many different questionnaires that can be used to assess this experience, they often ask the same types of questions. Below is an example of content overlap in two of the most common measures of psychological [distress](https://harmonydata.ac.uk/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe) used in children, the Revised Children’s [Anxiety](/harmonisation-validation/patient-reported-outcome-measure-information-system-promis-anxiety-subscale) and Depression Scale (RCADS), and the Mood and Feelings Questionnaire (MFQ). -{{< image src="images/blog/blog-pic-1.png" alt="img" >}} +{{< image src="/images/blog/blog-pic-1.png" alt="img" >}} By identifying, recoding, and testing the equivalence of subsets of [items](/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology) from different questionnaires (for guidelines see our previous report), researchers can derive harmonised sub-scales that are directly comparable across studies. Our group has previously used this approach to study [trends in mental health](/ai-in-mental-health/) across different generations (Gondek et al., 2021), and examine how socio-economic deprivation impacted adolescent mental health across different [cohorts](/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research) (McElroy et al., 2022). diff --git a/content/en/blog/data-harmonisation-tools-frameworks.md b/content/en/blog/data-harmonisation-tools-frameworks.md index 0d48941..8e024dc 100644 --- a/content/en/blog/data-harmonisation-tools-frameworks.md +++ b/content/en/blog/data-harmonisation-tools-frameworks.md @@ -21,7 +21,7 @@ So, if the [data is not harmonised](/data-harmonisation/) using the proper tools If you collected data using two questionnaires, such as GAD-7 and Becks Anxiety Inventory as in the below image, you would need to harmonise the datasets, by identifying correspondences between variables (the arrow in the image) -{{< image src="images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} +{{< image src="/images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} *Data harmonisation of GAD-7 and Becks Anxiety Inventory - this is what a data harmonisation tool such as Harmony would produce.* diff --git a/content/en/blog/harmony-cran.md b/content/en/blog/harmony-cran.md index f6ae374..60f7a72 100644 --- a/content/en/blog/harmony-cran.md +++ b/content/en/blog/harmony-cran.md @@ -27,7 +27,7 @@ install.packages("harmonydata") We encourage you to try Harmony and let us know what you think! You can also follow us on Twitter @harmonydata for updates. -{{< image src="images/cran.png" alt="cran" title="cran" >}} +{{< image src="/images/cran.png" alt="cran" title="cran" >}} ## Are you excited to use Harmony to harmonise your instruments? diff --git a/content/en/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md b/content/en/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md index 4d61140..673fecf 100644 --- a/content/en/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md +++ b/content/en/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md @@ -19,7 +19,7 @@ As our team embarks on the prototyping journey, I am reflecting on how we can ma The successful implementation and [sustainability](/making-harmony-sustainable-long-term/) of digital products developed through research grant funding, has been shockingly low. We have seen this especially in the digital mental health field, where thousands of apps and platforms have been developed and only very few have been implemented and sustained in the wild. From this line of [research](https://www.psychiatrist.com/jcp/psychiatry/implementing-digital-mental-health-interventions/#ref16) and [my own work with colleagues](https://www.jmir.org/2022/11/e40347) I know that innovation and effectiveness alone are not sufficient to secure real-world adoption . -{{< image src="images/blog/noah-buscher-x8ZStukS2PM-unsplash-1536x880.jpg" alt=" noah buscher" >}} +{{< image src="/images/blog/noah-buscher-x8ZStukS2PM-unsplash-1536x880.jpg" alt=" noah buscher" >}} So how can we maximise the uptake and implementation of Harmony to give it a longer shelf-life? I’ll draw on the field of implementation science[[i\]](https://harmonydata.ac.uk/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on/#_edn1) which provides useful insights and [frameworks](https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-8-139#Abs1) on share some reflections on how this could be done and what we and our fellow teams may want to focus on at this stage. @@ -54,7 +54,7 @@ So how can we maximise the uptake and implementation of Harmony to give it a lon We wish all remaining [Wellcome](/ai-in-mental-health/radio-podcast-about-wellcome-data-prize) Mental Health Data Prize teams a great start into the next stage. We are beyond excited. -{{< image src="images/blog/kelsey-knight-SFRw5GChoLA-unsplash-1-1536x1024.jpg" alt="kelsey knight" >}} +{{< image src="/images/blog/kelsey-knight-SFRw5GChoLA-unsplash-1-1536x1024.jpg" alt="kelsey knight" >}} ------ [[i\]](https://harmonydata.ac.uk/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on/#_ednref1) defined as the study of methods to promote the systematic uptake of research findings and evidence-based practices diff --git a/content/en/blog/harmony-multilingual.md b/content/en/blog/harmony-multilingual.md index 60c5e28..609ae23 100644 --- a/content/en/blog/harmony-multilingual.md +++ b/content/en/blog/harmony-multilingual.md @@ -18,11 +18,11 @@ We're happy to share some exciting news with you. Harmony now supports at least I evaluated Harmony's ability to match the [GAD-7](https://adaa.org/sites/default/files/GAD-7_Anxiety-updated_0.pdf) in 11 languages to the English version. I found that Harmony was able to achieve >95% AUC for 7 of the 11 non-English languages. -{{< image src="images/multilingual_aucs.png" alt="Multilingual AUCs" title="Multilingual AUCs" >}} +{{< image src="/images/multilingual_aucs.png" alt="Multilingual AUCs" title="Multilingual AUCs" >}} You can follow my working [in the `experiments` repo in our Github](https://github.com/harmonydata/experiments/blob/main/README.md). -{{< image src="images/multilingual_gad.png" alt="Multilingual GAD-7" title="Multilingual GAD-7" >}} +{{< image src="/images/multilingual_gad.png" alt="Multilingual GAD-7" title="Multilingual GAD-7" >}} ## More about Harmony @@ -44,6 +44,6 @@ By supporting [multiple languages](https://fastdatascience.com/multilingual-natu If you are interested in using Harmony or learning more about it, please visit [the Harmony website](https://harmonydata.ac.uk) or [contact us](/contact). We would love to hear from you and [get your feedback](/open-source-for-social-science/what-features-would-you-like-to-see-in-harmony/) on our [tool](/psychology-ai-tool/). -{{< image src="images/reiwa.svg" alt="Reiwa in Japanese" title="Reiwa in Japanese" >}} +{{< image src="/images/reiwa.svg" alt="Reiwa in Japanese" title="Reiwa in Japanese" >}} _The Japanese characters above are pronounced "reiwa" and mean "beautiful harmony". [Reiwa](https://en.wikipedia.org/wiki/Reiwa_era) is the name of the current era in the Japanese official calendar, corresponding to Emperor Naruhito's reign as 126th Emperor of Japan, which began in 2019. The second character, [和](https://en.wiktionary.org/wiki/%E5%92%8C), signifies "peaceful" or "harmonious" in both Chinese and Japanese. In Chinese it's pronounced "hé", and in Japanese, "wa", as well as many other pronunciations._ diff --git a/content/en/blog/harmony_r_example.md b/content/en/blog/harmony_r_example.md index 06af31e..9b172d7 100644 --- a/content/en/blog/harmony_r_example.md +++ b/content/en/blog/harmony_r_example.md @@ -380,5 +380,5 @@ write.csv(df, "matches.csv") If you open the CSV generated, you can see the complete matrix. You can also open in Excel. -{{< image src="images/csv_screenshot.png" alt="CSV screenshot" title="CSV screenshot" >}} +{{< image src="/images/csv_screenshot.png" alt="CSV screenshot" title="CSV screenshot" >}} diff --git a/content/en/blog/harmony_social_media.md b/content/en/blog/harmony_social_media.md index 2381b9d..24c7920 100644 --- a/content/en/blog/harmony_social_media.md +++ b/content/en/blog/harmony_social_media.md @@ -10,11 +10,11 @@ Now you can share your harmonisations with your colleagues with a simple share l We've added Firebase authentication to Harmony. You can log in with Google, Github or Twitter, and then you can see all your previous harmonisation work. -{{< image src="images/login.png" alt="login" title="login" >}} +{{< image src="/images/login.png" alt="login" title="login" >}} You can even share your work with colleagues on LinkedIn, Twitter, or via URL. -{{< image src="images/share_dialog.png" alt="LinkedIn" title="LinkedIn" >}} +{{< image src="/images/share_dialog.png" alt="LinkedIn" title="LinkedIn" >}} You'll then be taken to the dialogue box in your chosen platform, where you can share your work as normal. diff --git a/content/en/blog/how-does-harmony-work.md b/content/en/blog/how-does-harmony-work.md index 57c2f3f..b252518 100644 --- a/content/en/blog/how-does-harmony-work.md +++ b/content/en/blog/how-does-harmony-work.md @@ -19,7 +19,7 @@ Harmony uses techniques from the field of [natural language processing](https:// ## Introduction to natural language processing: the Bag of Words -{{< image src="images/blog/GAD-7-vs-Becks.drawio-min-1.png" alt="GAD-7-vs-Becks" >}} +{{< image src="/images/blog/GAD-7-vs-Becks.drawio-min-1.png" alt="GAD-7-vs-Becks" >}} There are a number of approaches to quantify the [similarity](https://fastdatascience.com/finding-similar-documents-nlp) between strings of text. The simplest approach is known as the Bag-of-Words approach. This is *not* how Harmony currently works, but it is one of the first things we tried! @@ -50,7 +50,7 @@ The obvious drawbacks of the Jaccard method are that - It won’t notice negation (*I was not happy* and *I was very happy* both equally match *you were happy*). - Most crucially, our remit for the Harmony [project](https://fastdatascience.com/starting-a-data-science-project) is that we want to harmonise data from different [languages](/psychology-ai-tool/harmony-many-languages/), such as Portuguese and English. Clearly the bag-of-words approach would not work when the texts are in different languages, unless you translated them first. -{{< image src="images/blog/Jaccard-checklist.drawio-min-768x634.png" alt="Jaccard checklist" >}} +{{< image src="/images/blog/Jaccard-checklist.drawio-min-768x634.png" alt="Jaccard checklist" >}} ## Vector spaces @@ -58,19 +58,19 @@ The next approach that we tried was a vector space model. Vector space models allow us to represent words and concepts as numbers or points on a graph. For example, if *anxious* could be (2, 3), *worried* is (3, 4) and *relax* is (8, 2). The coordinates of each [concept](https://harmonydata.ac.uk/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe) are themselves meaningless, but if we calculate the distance between them we would see that *anxious* and *worried* are closer to each other than either is to *relax*. -{{< image src="images/blog/Word-vectors.drawio-min-1536x836.png" alt="Word vectors" >}} +{{< image src="/images/blog/Word-vectors.drawio-min-1536x836.png" alt="Word vectors" >}} It’s important to note that the values of the vectors are completely arbitrary. There’s no meaning at all to where a concept is assigned on the *x* or *y* axes, but there is meaning in the distances. Now we have a way to handle synonyms. This approach is called *word vector embeddings* -{{< image src="images/blog/image.png" >}} +{{< image src="/images/blog/image.png" >}} Some real word vector values for terms occurring in our data. Typically the vectors are large, potentially up to 500 dimensions. Word vector embeddings became popular in 2013 after the Czech computer scientist Tomáš Mikolov [proposed a way that an AI can generate vectors](https://arxiv.org/abs/1310.4546) for every word in the English language simply from a huge set of documents. -{{< image src="images/blog/newplot-28-min.png" alt="newplot" >}} +{{< image src="/images/blog/newplot-28-min.png" alt="newplot" >}} To visualise the word vectors, we can squash them down into two or three dimensions. This is a 2D visualisation of the terms in the table above. I used an algorithm called [t-SNE](https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding) to squash them into a flat surface. @@ -80,7 +80,7 @@ If you want to use word vector embeddings to find synonyms, you could calculate With the Harmony data, I found that the vector space models did not correctly identify the relationship between *child bullies others* and *child is bullied by others* – which are clearly very different questions and should not be harmonised together. -{{< image src="images/blog/Vector-checklist.drawio-min-768x633.png" alt="Vector checklist" >}} +{{< image src="/images/blog/Vector-checklist.drawio-min-768x633.png" alt="Vector checklist" >}} ## Transformer models @@ -94,7 +94,7 @@ Vector representations of the [GAD-7](/compare-harmonise-instruments/gad-7-vs-ph As an aside, transformers can also be used for machine translation (in fact Google Translate now uses transformers), and this attention enables a noun+adjective phrase to be translated to another language with the correct gender. -{{< image src="images/blog/English-Portuguese-translations.drawio.png" alt="English Portuguese translations" >}} +{{< image src="/images/blog/English-Portuguese-translations.drawio.png" alt="English Portuguese translations" >}} The word *red* could be translated in various different ways into Portuguese depending on the gender and the noun to be modified. Transformer models are adept at taking these clues into context and outputting the correct translation of a phrase. @@ -104,7 +104,7 @@ GPT-2 converts the text of each question into a vector in 1600 dimensions. The distance between any two questions is measured according to the cosine similarity metric between the two vectors. Two questions which are similar in meaning, even if worded differently or in different languages, will have a high degree of similarity between their vector representations. Questions which are very different tend to be far apart in the vector space. -{{< image src="images/blog/Transformer-checklist.drawio-min-768x633.png" alt="Transformer checklist" >}} +{{< image src="/images/blog/Transformer-checklist.drawio-min-768x633.png" alt="Transformer checklist" >}} ## Converting to a network graph @@ -114,7 +114,7 @@ We then find the closest matches and link them together in a graph. Because this approach is potentially error-prone, we have provided the facility for a user to edit the network graph and add and remove edges if they disagree with Harmony’s decisions. -{{< image src="images/blog/image-2.png" >}} +{{< image src="/images/blog/image-2.png" >}} The user has an option to add or remove edges from the graph. diff --git a/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md b/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md index c1fce36..4ee7245 100644 --- a/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md +++ b/content/en/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md @@ -30,7 +30,7 @@ Can we use Harmony to harmonise mental health instruments designed for different > Zvaita sei kuti chembere yorasika, bere rorutsa imvi? (How is it that the old woman is missing and the hyena is vomiting grey hairs?) -{{< image src="images/blog/pexels-bigworldinalens-11307036-1024x682.jpg" alt="img" >}} +{{< image src="/images/blog/pexels-bigworldinalens-11307036-1024x682.jpg" alt="img" >}} > Shona proverb (similar to English “there’s no smoke without fire”) @@ -54,7 +54,7 @@ I tried using Harmony to see how it would harmonise “kufungisisa” (thinking Although English is the best-resource language for [natural language processing](https://naturallanguageprocessing.com/), [multilingual NLP techniques](https://fastdatascience.com/multilingual-natural-language-processing/) are catching up even for lower-resourced [languages](/psychology-ai-tool/harmony-many-languages/). There exist some [NLP](https://fastdatascience.com/portfolio/nlp-consultant/) [models](https://harmonydata.ac.uk/semantic-text-matching-with-deep-learning-transformer-models) for Shona. I used the sentence [transformer](https://harmonydata.ac.uk/how-does-harmony-work) model `Davlan/xlm-roberta-base-finetuned-shona` which is a modification of ROBERTA trained on Shona texts[7]. I plugged one into Harmony and tried to match the [Shona symptom questionnaire for the detection of depression and anxiety](https://depts.washington.edu/edgh/zw/hit/web/project-resources/shona_symptom_questionnaire.pdf), which is used in Zimbabwe[6]. -{{< image src="images/blog/Screenshot-from-2023-07-13-12-34-30.png" alt="img" >}} +{{< image src="/images/blog/Screenshot-from-2023-07-13-12-34-30.png" alt="img" >}} Above: the text of the Shona symptom questionnaire for the detection of depression and anxiety. @@ -65,7 +65,7 @@ Also, the transformer model did not operate as a sentence transformer, but rathe My model’s output is below: -{{< image src="images/blog/image-1-b.png" alt="img" >}} +{{< image src="/images/blog/image-1-b.png" alt="img" >}} Harmony and the Shona transformer model matched the question about “kufungisisa” to GHQ-12 question 1 “been able to concentrate on whatever you’re doing?” which seems approximately OK. However, I would need a Shona native speaker to validate my results. diff --git a/content/en/blog/measuring-the-performance-of-nlp-algorithms.md b/content/en/blog/measuring-the-performance-of-nlp-algorithms.md index de351e9..0680b39 100644 --- a/content/en/blog/measuring-the-performance-of-nlp-algorithms.md +++ b/content/en/blog/measuring-the-performance-of-nlp-algorithms.md @@ -29,7 +29,7 @@ I used an existing harmonisation tool developed by a team at CLOSER ([Harmonisat This tool is available as an Excel and shows a variety of instruments from different places and times, and assigns the questions within them to a defined set of categories. -{{< image src="images/blog/image-1536x502.png" alt="img" >}} +{{< image src="/images/blog/image-1536x502.png" alt="img" >}} A screenshot of the harmonisation tool by McElroy et al (2020). You can download the tool in Excel format [on our Github repository](https://github.com/harmonydata/harmony_original/tree/main/data). @@ -87,10 +87,10 @@ For each model design, I generated a [ROC curve](https://fastdatascience.com/mea The baseline model, the Tf\*Idf, gave a 71% and 67% AUC on the childhood and adulthood datasets respectively. On the English vs Portuguese it scored a 49% AUC, showing that it was unable to perform any [matching](/nlp-semantic-text-matching/) at all. This is not surprising as there are no words in common between the English and Portuguese GAD-7s. -{{< image src="images/blog/Model-1-1536x1303.png" alt="model 1" >}} +{{< image src="/images/blog/Model-1-1536x1303.png" alt="model 1" >}} -{{< image src="images/blog/Model-2-1-1536x1254.png" alt="Model 2 1" >}} +{{< image src="/images/blog/Model-2-1-1536x1254.png" alt="Model 2 1" >}} With a hand-coded dictionary lookup to match English and Portuguese words to each other, the same model was able to score 100% on the GAD-7 multilingual dataset. (Dictionary CSV file available [here](https://github.com/harmonydata/harmony_original/blob/main/front_end/models/pt_en_map.csv)). @@ -103,14 +103,14 @@ The next stage was to try a word vector similarity approach. I used spaCy, one o Overall, the smallest spaCy English and Portuguese models performed worse than the Tf\*Idf models described above. The GAD-7 performance is essentially 50% – the model is not performing any useful classification at all. -{{< image src="images/blog/Model-3-1536x1275.png" alt="Model 3" >}} +{{< image src="/images/blog/Model-3-1536x1275.png" alt="Model 3" >}} This is to be expected, as we would not expect the English and Portuguese word vectors to be at all equivalent. I then tried the large spaCy model, using the English version for both [languages](/psychology-ai-tool/harmony-many-languages/). This performed marginally better. -{{< image src="images/blog/Model-4-1536x1303.png" alt="Model 4" >}} +{{< image src="/images/blog/Model-4-1536x1303.png" alt="Model 4" >}} ### Moving on to transformers @@ -119,19 +119,19 @@ The state-of-the-art in [natural language processing](https://naturallanguagepro I used the software package HuggingFace with the multilingual [Sentence-BERT model](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2), which is an [implementation](/ai-in-mental-health/harmony-going-forward/) of BERT that is designed to generate semantically meaningful sentence embeddings which can be compared using cosine similarity. -{{< image src="images/blog/Model-50Adistiluse-base-multilingual-cased-v2-1536x1355.png" alt="Model 50 Adistiluse base multilingual cased" >}} +{{< image src="/images/blog/Model-50Adistiluse-base-multilingual-cased-v2-1536x1355.png" alt="Model 50 Adistiluse base multilingual cased" >}} I tested Sentence-BERT with a number of different metrics parameters, switching between Cosine and Dot-product similarity, and adding a manual language-dependent preprocessing step to identify when two sentences may be similar in the opposite sense. I also tried a number of different document vector models available on the HuggingFace hub. I was able to reach 84% AUC on the childhood questionnaires, 80% AUC on the adulthood questionnaires, and again 100% on the GAD-7. -{{< image src="images/blog/Model-8-1536x1042.png" alt="Model 8" >}} +{{< image src="/images/blog/Model-8-1536x1042.png" alt="Model 8" >}} The MentalBERT model did not perform as well as the other sentence transformer models, despite being domain-specific. Of course we would not expect MentalBERT to perform well on the latter two datasets since it is English-only and not multilingual. -{{< image src="images/blog/Model-10-1536x898.png" alt="Model 10" >}} +{{< image src="/images/blog/Model-10-1536x898.png" alt="Model 10" >}} ### A sneak peak at the question pairs that were misclassified by Harmony @@ -142,11 +142,11 @@ If you look at the code for the validations in [Github](https://github.com/harmo For example, Model 7 has clearly tagged equivalent Portuguese/English question pairs with higher similarity values -{{< image src="images/blog/image-22.png" alt="img" >}} +{{< image src="/images/blog/image-22.png" alt="img" >}} The question pairs marked as most similar in the GAD-7 dataset by Model 7 (transformer) -{{< image src="images/blog/image-23.png" alt="img" >}} +{{< image src="/images/blog/image-23.png" alt="img" >}} The question pairs marked as least similar in the GAD-7 dataset by Model 7 (transformer) @@ -154,7 +154,7 @@ The question pairs marked as least similar in the GAD-7 dataset by Model 7 (tran Likewise, here is a printout of the Childhood dataset’s top 10 false negatives (the question pairs that are marked as similar in the McElroy et al tool but which were missed by Harmony): -{{< image src="images/blog/image-24.png" alt="img" >}} +{{< image src="/images/blog/image-24.png" alt="img" >}} The top 10 false negatives in the Childhood dataset as classified by Model 7 (transformer) @@ -164,7 +164,7 @@ We can see that some of these are texts where the meaning is really very differe Let’s have a look at the false positives – these are question pairs which McElroy et al categorised as different, but Harmony thought that they are similar. -{{< image src="images/blog/image-25.png" alt="img" >}} +{{< image src="/images/blog/image-25.png" alt="img" >}} The top 10 false positives in the Childhood dataset as classified by Model 7 (transformer) diff --git a/content/en/blog/ppie-for-secondary-data-analysis.md b/content/en/blog/ppie-for-secondary-data-analysis.md index f8a1c1a..b5cd42d 100644 --- a/content/en/blog/ppie-for-secondary-data-analysis.md +++ b/content/en/blog/ppie-for-secondary-data-analysis.md @@ -20,7 +20,7 @@ I have had a fantastic past year, filled with a lot of learning, exciting new di When I prepared the PPIE session for my colleagues, I tried to find examples in the existing literature that could demonstrate how PPIE activities can shape and benefit research using secondary data (no references to share, sorry). The lack of hits in my search confirmed my impression of how little PPIE has been explored in my new, chosen research field. Hence, I decided to share a few ideas on how PPIE can shape your research if you are working primarily with secondary data. Please, note I am not *the* PPIE expert and I am still learning myself. The idea of this article is to open up the space and to get a wide collection of possible activities so that we can learn from each other and draw from this hopefully growing collection. I am sure many other people have some great things to add to this list of ideas below. If you do, please add them in the comments section. -{{< image src="images/blog/jason-goodman-m2TU2gfqSeE-unsplash-ls-1-1536x1024.jpg" alt="Picture shows white wall with orange sticky notes. A person is in front of the wall and points at one of the notes" >}} +{{< image src="/images/blog/jason-goodman-m2TU2gfqSeE-unsplash-ls-1-1536x1024.jpg" alt="Picture shows white wall with orange sticky notes. A person is in front of the wall and points at one of the notes" >}} 1. **Developing your [project](https://fastdatascience.com/starting-a-data-science-project), proposal, and research question** @@ -29,7 +29,7 @@ There are a lot of great opportunities to involve members of the public or exper Let’s assume you as a researcher are interested in finding out which factors put young people at [risk](https://fastdatascience.com/how-can-we-assess-the-risk-of-a-clinical-trial-using-ai) of developing anxiety and depression. Your existing (hopefully large) dataset has many different variables that represent different risk factors, such as “bullying”, “deprivation”, “loss of a family member”, “parental conflict” or “low academic attainment”. My first step would be to translate these topics or items into something a young person can understand better, for instance: “parental conflict” = “parents that fight a lot and have arguments” or “low academic attainment” = “a student who keeps failing exams or keeps getting bad grades”. -{{< image src="images/blog/mourizal-zativa-gNMVpAPe3PE-unsplash-1536x1024.jpg" alt="Images displays Lego bricks of different colours and shapes and size." >}} +{{< image src="/images/blog/mourizal-zativa-gNMVpAPe3PE-unsplash-1536x1024.jpg" alt="Images displays Lego bricks of different colours and shapes and size." >}} After that you can organise a [workshop](https://harmonydata.ac.uk/harmony-tidal-workshop) with young people, your experience experts, where you will hand out your young-person-friendly variables like little building blocks. You can then ask the young people how each of these building blocks relate to how young people feel on a day-to-day basis. Is there anything that makes them feel sad, angry, happy? This type of discussion should already give some good insights as to whether you as a researcher understand those building blocks (variables) and their relationship to a young person’s mental health, the same way as the young people do. After that you could ask your young experts to join your team as a researcher and become your co-researcher. Together you can use these building blocks to prioritise risk factors (aka set research priorities for your project) which you can use to inform your research question and subsequent analysis, or sometimes even to create new research questions that you may not have thought of. If you don’t have enough time and want to make sure the final research question is in line with your general research interests, you can present the young experts with different drafts or versions of your research question and find out which of these they would find most interesting or relevant and why. @@ -38,7 +38,7 @@ After that you can organise a [workshop](https://harmonydata.ac.uk/harmony-tidal Involving experts by experience in your analysis and the interpretation of your findings can be very insightful. After you have run your analysis, try to write up the key findings in an accessible way (no regression coefficients or risk ratios – yes, it can be tempting). You can ask your young experts whether they think the findings sound sensible to them or if there might be a need to look at something else which you had not yet considered. In some cases, you may also find your results confusing, e.g., you may be wondering why certain items are cross-loading onto two factors, although all the literature suggests that they should clearly only load onto one. Your experience-experts might be able to give you insights that can’t be found in the literature, especially when the population or group you are researching is very different from you. -{{< image src="images/blog/suzi-kim-AdPvazshqDU-unsplash-ls-1536x1191.jpg" alt="Image shows photo taken from above, of a pavement. The pavement has an image painted on it where a tall person and a small person walk together." >}} +{{< image src="/images/blog/suzi-kim-AdPvazshqDU-unsplash-ls-1536x1191.jpg" alt="Image shows photo taken from above, of a pavement. The pavement has an image painted on it where a tall person and a small person walk together." >}} 1. **Write up & Dissemination** @@ -49,6 +49,6 @@ PPIE can help make your research more accessible and visible to those who have t 1 Disclaimer: I am a passionate emotion regulation researcher. -{{< image src="images/blog/PPI-CLS-workshop-1536x1152.jpg" alt="PPI CLS workshop" >}} +{{< image src="/images/blog/PPI-CLS-workshop-1536x1152.jpg" alt="PPI CLS workshop" >}} Some of my lovely colleagues at the Centre for Longitudinal Studies at UCL diff --git a/content/en/blog/releasing-harmony-api.md b/content/en/blog/releasing-harmony-api.md index 0fbcfbf..37f8a3e 100644 --- a/content/en/blog/releasing-harmony-api.md +++ b/content/en/blog/releasing-harmony-api.md @@ -135,7 +135,7 @@ If you are not [running](/open-source-for-social-science/running-harmony-in-your Architecture of the Harmony implementation on Azure with FastAPI: -{{< image src="images/blog/harmony_architecture_azure.png" alt="harmony architecture azure" >}} +{{< image src="/images/blog/harmony_architecture_azure.png" alt="harmony architecture azure" >}} # Getting started with the Harmony Python library @@ -333,7 +333,7 @@ The response contains a dictionary with three key-value pairs: `questions` (the This repository also contains code for an alternative serverless deployment on AWS Lambda. The deployment has been divided into four AWS Lambda functions, managed by Terraform. Please refer to folder `serverless_deployment` for details. -{{< image src="images/blog/deployed_harmony_architecture.png" alt="deployed harmony architecture" >}} +{{< image src="/images/blog/deployed_harmony_architecture.png" alt="deployed harmony architecture" >}} # License diff --git a/content/en/blog/sustainability.md b/content/en/blog/sustainability.md index 91a5d3a..4634b9e 100644 --- a/content/en/blog/sustainability.md +++ b/content/en/blog/sustainability.md @@ -38,7 +38,7 @@ With regards the Harmony API, initially we ran the tool on Microsoft Azure. This We explored a number of solutions which can cut costs, and we have chosen to use the available servers in Ulster University for ongoing hosting, meaning that an Azure account is no longer needed. An alternative which we explored was serverless (function as a service, or FaaS) solutions using [AWS Lambda](https://aws.amazon.com/lambda/), which is cheap to run, but is very complicated to set up and results in long cold start times. -{{< image src="images/blog/deployed_harmony_architecture.png" alt="Screenshot" >}} +{{< image src="/images/blog/deployed_harmony_architecture.png" alt="Screenshot" >}} *Alternative serverless [deployment](https://fastdatascience.com/machine-learning-model-deployment) on AWS Lambda* diff --git a/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md b/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md index f698e28..38c1b58 100644 --- a/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md +++ b/content/en/compare-harmonise-instruments/adult-adhd-self-report-scale-vs-maclean-screening-instrument-for-bpd.md @@ -42,7 +42,7 @@ Utilizing advanced algorithms and natural language processing techniques, Harmon It can provide a percentage match between each item on both the scales, allowing researchers to have a clearer and more quantified understanding of commonalities. With Harmony, the task of comparing Adult ADHD Self-Report Scale vs MacLean Screening Instrument for BPD becomes streamlined and efficient. Harmony can handle instruments in different languages, expanding the horizons for cross-study comparisons. It offers a simple and interactive interface where users can either select from a database of instruments or upload their own in PDF form. When comparing Adult ADHD Self-Report Scale vs MacLean Screening Instrument for BPD, Harmony's AI-powered technology ensures thorough and accurate harmonisation. It has the potential to revolutionize essential research processes in psychology and social sciences. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} ## Other instruments which you can compare and harmonise with Harmony diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md index 17c87e4..b99a52e 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-assist.md @@ -33,7 +33,7 @@ Both the Alcohol Use Disorder Identification Test (AUDIT-10) and the Alcohol, Sm With Harmony, the process of comparing AUDIT-10 vs ASSIST becomes simplified and objective. Harmony's large language models compare the instruments and provide a percentage match between each item in AUDIT-10 and ASSIST, making it easier for the researchers to draw conclusions and identify patterns. But the utility of Harmony does not stop at the AUDIT-10 vs ASSIST comparison. The software is capable of processing a variety of instruments across languages, enabling psychologists to do comprehensive, global analysis. Furthermore, psychologist can input their own instruments in PDF form into Harmon's web interface for personalized comparisons. If you are a researcher grappling with AUDIT-10 vs ASSIST or any other questionnaire comparison, Harmony might be the time-saving and objective solution you need. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dtc.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dtc.md index 3c63cbd..248efe6 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dtc.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dtc.md @@ -35,7 +35,7 @@ However, comparing different questionnaires, or harmonisation, can be a time-con Harmony utilizes large language models to calculate a percentage match between each item on the AUDIT-10 and DTC questionnaire, providing objective results and easing the burden on the researchers. The use of Harmony for AUDIT-10 vs DTC comparison and harmonisation not only saves valuable time but also enhances the effectiveness of cross-study and cohort analyses. Moreover, Harmony's capabilities are not limited by language barriers, and it allows for the comparison of instruments in multiple languages. So, for a seamless AUDIT-10 vs DTC comparison, use Harmony, and move a step closer to insightful research findings. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md index 2bebecb..13d6199 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-dudit.md @@ -36,7 +36,7 @@ By using Harmony in the comparison of AUDIT-10 vs DUDIT, researchers can leverag By using Harmony, researchers can ensure that the comparison of these two widely used assessment instruments is both accurate and efficient, thus enhancing the quality and reliability of their study outcomes. With its cutting-edge technology, Harmony is paving the way for more robust and comprehensive research in psychology and social sciences. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-espad.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-espad.md index 547649d..452b331 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-espad.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-espad.md @@ -35,7 +35,7 @@ In psychology and social sciences, it is often necessary to compare different qu Also worth mentioning, *Harmony* comfortably handles questionnaires in various languages, making the 'AUDIT-10 vs ESPAD' comparison possible irrespective of the language used in your research. Simply dropping your questionnaire material into https://harmonydata.ac.uk/app, you can get started with your harmonising work. Using *Harmony* for comparing 'AUDIT-10 vs ESPAD' not only simplifies your research process but also provides a more objective analysis result, ultimately giving a boost to your research quality. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md index 269ae9f..d1c3e79 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-has.md @@ -35,7 +35,7 @@ That's where Harmony steps in. Equipped with powerful natural language processin So, if you are a researcher grappling with the task of comparing AUDIT-10 vs HAS, consider using Harmony. Not only will you save your valuable time, but also bolster the reliability of the outcome through AI-powered alignment. Just upload your questionnaire in PDF form via Harmony's web interface and let the software do the heavy lifting for you. With Harmony, define your research parameters with more efficiency and precision than ever before. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md index 2e49d3b..1c37550 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-mast.md @@ -36,7 +36,7 @@ Moreover, Harmony's user-friendly interface allows researchers to simply select -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-rapi.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-rapi.md index c35db76..3bf682c 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-rapi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-rapi.md @@ -36,7 +36,7 @@ By leveraging natural language processing and generative AI models, Harmony can Harmony facilitates swift recognition and correlation of these potentially disparate elements, thereby easing the AUDIT-10 vs RAPI comparison process. Suitably equipped with the Harmony tool, psychologists now find the comparison between AUDIT-10 vs RAPI not only to be feasible in different languages, but also significantly less time-consuming and more objective. This way, they can focus more on interpreting their research results and less on the tedious task of harmonising different research instruments. Visit https://harmonydata.ac.uk/app to experience this harmonic integration from the comfort of your own space. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md index 7fafdfe..1733405 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-10-vs-tflb.md @@ -35,7 +35,7 @@ Whether you choose from the software's database or upload your own documents, Ha -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/audit-vs-assist.md index 25080f1..d125862 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-vs-assist.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-vs-assist.md @@ -37,7 +37,7 @@ This not only eliminates the manual labour involved but also reduces the chances -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md b/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md index e633295..521d79c 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/audit-vs-dasi.md @@ -36,7 +36,7 @@ If you're looking to directly compare 'AUDIT vs DASI', Harmony should be your go With a straightforward web interface, Harmony's database encompasses several instruments. For custom requirements, the tool allows users to drag and drop their own instruments in PDF format directly into the application. Whether you're looking to understand patterns in Alcohol Use Disorders through the AUDIT questionnaire or investigating drug usage and self-injury with DASI, a direct comparison using Harmony increases your efficiency and the accuracy of your results. If 'AUDIT vs DASI' is a comparison your research requires, Harmony makes the harmonisation process considerably more straightforward and less time-consuming while ensuring high accuracy in results. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dasi-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/dasi-vs-assist.md index 1066b3c..fe547f6 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dasi-vs-assist.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dasi-vs-assist.md @@ -38,7 +38,7 @@ Give the AI your instruments, and it provides a percentage match for each item, -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md index 41d2042..f7f22ac 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-audit.md @@ -36,7 +36,7 @@ Harmony offers an effortless and comprehensive approach to harmonise and compare Harmony enables users to upload their questionnaires directly into its web interface, breaking the tedious cycle of manually sorting through PDF files. Moreover, Harmony's aptitude extends beyond just the English language. The software can aptly compare and harmonise questionnaires written in multiple languages. That makes DTC vs AUDIT comparisons across different cultural and social contexts easier than ever. Harmony effectively shreds the barriers of linguistics and introduces a new era in cross-study comparisons. The software is poised to be an invaluable tool for psychologists aspiring to unravel the intricate web of behavioral patterns across various challenges and cultures. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md index 6c133e4..659f8f8 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-espad.md @@ -34,7 +34,7 @@ Harmony's AI models will analyse and compare each item of DTC and ESPAD, providi -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md index 9c7e11f..e9346e5 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-mast.md @@ -34,7 +34,7 @@ Comparison and harmonisation of questionnaires like DTC (Drinking to Cope) and M The easy-to-understand comparison results of DTC vs MAST produced by Harmony can potentially speed up research timelines, reducing the need for manual harmonisation process. In conclusion, technology has simplified many areas of research, and survey harmonisation is no exception. When it comes to DTC vs MAST comparison, Harmony is arguably the best tool on the market. The platform enables researchers to automate the traditionally complex and tedious harmonisation process, making it more efficient and accurate. Next time you need to compare DTC vs MAST, consider using Harmony. The software is sure to revolutionise your research process, saving you valuable time and resources. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-rapi.md b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-rapi.md index 6db0194..756948a 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-rapi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dtc-vs-rapi.md @@ -33,7 +33,7 @@ Harmony, a software developed specifically for psychologists, simplifies the har In using the Harmony software, researchers have the option to work with a variety of instruments available within the built-in database or simply drag and drop their own collection in PDF format. This 21st-century innovation enables you to compare items in DTC vs RAPI and even facilitates harmonisation across multiple languages. This is particularly beneficial when carrying out vital cross-cultural studies. Gain significant time savings and consistency with your DTC vs RAPI match by using Harmony for efficient questionnaire harmonisation. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md index 777d6f6..4387121 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-assist.md @@ -34,7 +34,7 @@ If you're planning a **DUDIT vs ASSIST** analysis, we highly recommend giving Ha -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md index df1c4ce..ed1900c 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-audit.md @@ -37,7 +37,7 @@ Using natural language processing and generative AI models, Harmony can provide Making use of Harmony for the comparison of DUDIT vs AUDIT presents a clear advantage for psychologists and researchers. It not only simplifies the process, but also offers more accurate and reliable results. Whether you're working with a preexisting database or importing your own study data, Harmony facilitates a smoother, more efficient workflow, taking the hassle out of DUDIT vs AUDIT harmonisation. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md index 1ca6e93..a0f4540 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-dtc.md @@ -33,7 +33,7 @@ Using Harmony’s sophisticated natural language processing and generative AI mo This aids psychologists in their journey towards drawing meaningful insights and conclusions in their research work. In this digital age, Harmony is a game-changer for psychologists and researchers dealing with questionnaire items comparison like *DUDIT vs DTC*. It not only handles English but also provides the facility for comparing items in multiple languages. With Harmony, researchers can let go of the tedious manual harmonisation process and divert their attention to more critical aspects of their study. Let Harmony guide your comparative study, and see the ease it brings to your research process. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-espad.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-espad.md index 99dda76..f62e6f3 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-espad.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-espad.md @@ -33,7 +33,7 @@ Harmony offers more than just comparison; it's a valuable platform that allows s Another impressive feature about Harmony is its multi-language support, ensuring that DUDIT vs ESPAD is possible even across languages. This feature enhances the usability and universality of the tool, enabling it to cater to a more extensive range of researchers. Therefore, for your DUDIT vs ESPAD comparisons, Harmony undoubtedly offers a suitable, streamlined approach that improves not only the accuracy but also the efficiency of the process. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md index 75ddc35..79b4112 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-mast.md @@ -36,7 +36,7 @@ Comparing the Drug Use Disorders Identification Test (DUDIT) with the Michigan A **The Harmony Advantage in DUDIT vs MAST** In conclusion, the process of harmonising DUDIT vs MAST using traditional manual methods is set to become a thing of the past. Harmony not only automates the labor-intensive task but also reduces subjectivity, allowing researchers to focus more on the results and insights of comparisons. If you're gearing up for a DUDIT vs MAST comparison, why not give Harmony a try and experience the benefits first hand? -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md index 34df903..b4c2cae 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/dudit-vs-rapi.md @@ -36,7 +36,7 @@ By using Harmony, psychologists can access its extensive database, or drag and d To leverage the power of AI in psychological research, Harmony is indeed the go-to tool for instrument comparison, specifically for tasks such as DUDIT vs RAPI. With its user-friendly web interface and robust features, it can aid researchers in their longitudinal studies, ultimately contributing to a better understanding of substance use disorders. Cut down your manual work and let Harmony take care of the harmonisation process. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-assist.md index faff427..cc1f9df 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-assist.md +++ b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-assist.md @@ -15,7 +15,7 @@ aliases: -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Try Harmony" copy="Compare ESPAD and ASSIST " url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-dasi.md b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-dasi.md index 072a3c7..d15d4f5 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-dasi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-dasi.md @@ -36,7 +36,7 @@ Harmony not only helps to harmonise questionnaire items, it also allows for prec When dealing with ESPAD vs DASI, Harmony makes it possible to select instruments directly from their database, or upload your own instruments in PDF format via their user-friendly web interface. This allows researchers worldwide to make the most of cohort and longitudinal studies, testing results consistency across multiple studies, and observing changes in response to varying social conditions. Harmony simplifies large scale comparative studies such as ESPAD vs DASI, ultimately empowering the world of research. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md index 394de07..f1bdba6 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md +++ b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-mast.md @@ -38,7 +38,7 @@ This analytical software uses natural language processing and generative AI mode This significantly reduces the manual labor, making the comparison process streamlined and efficient. With ESPAD vs MAST comparison and many alike, Harmony becomes an unavoidable tool for psychologists and social scientists. The Harmony software's ability to provide item-level comparisons between diverse studies immediately and accurately makes it stand out as a revolutionary tool in the field of research. With Harmony, researchers can make full use of the cohort and longitudinal data not just within, but across different studies, leading to more comprehensive and accurate results. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-rapi.md b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-rapi.md index 79df251..b6a505d 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/espad-vs-rapi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/espad-vs-rapi.md @@ -42,7 +42,7 @@ In the quest to derive meaningful insights from social science research, it's pa -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md index 055b2c7..caf40a2 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md +++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-assist.md @@ -36,7 +36,7 @@ To comprehensively compare and analyse MAST vs ASSIST, Harmony invites psycholog -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md index 35379d9..b553927 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-dasi.md @@ -36,7 +36,7 @@ Taking advantage of Harmony's impressive features allows us to optimize our rese -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md index 556a70c..4161b32 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md +++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-has.md @@ -36,7 +36,7 @@ Harmony can match the items within the MAST and HAS tests in multiple languages Given these capabilities, Harmony is poised to become an integral tool for psychologists, psychiatrists, and social scientists in their research journeys. By visiting Harmony's web interface, uploading questionnaires and entrusting the harmonisation process to Harmony, researchers can devote more time and effort to in-depth analysis and deriving meaningful conclusions. When comparing `MAST vs HAS`, or any other psychological tools, remember that Harmony turns complications into simplicity, detail into overview, and data into knowledge. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md index de72e10..3595467 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/mast-vs-rapi.md @@ -36,7 +36,7 @@ Harmony allows researchers to select instruments for comparison or upload their -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md index fd2b796..064c45a 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md +++ b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-assist.md @@ -33,7 +33,7 @@ Harmony employs large language models to match items from RAPI and ASSIST, provi Hence, for the comparison study of RAPI vs ASSIST, Harmony serves as an ideal tool. In conclusion, for psychologists and social scientists looking to conduct a comparison between RAPI and ASSIST, Harmony is the go-to tool. Its convenience, accuracy, and ease of use make the often tedious task of questionnaire harmonisation simple and efficient. Thus, in the comparison study of RAPI vs ASSIST, Harmony undoubtedly adds significant value, empowering researchers to focus on the analysis and interpretation stages of their work. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md index d969cc0..97b1289 100644 --- a/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md +++ b/content/en/compare-harmonise-instruments/alcoholism/rapi-vs-dasi.md @@ -35,7 +35,7 @@ The use of Harmony's language models ensures a vigorous yet precise comparison b In sum, the RAPI vs DASI match-up need no longer be a time-consuming process. Harmony, with its use of innovative AI and natural language processing, will expedite the comparison and make the process less subjective. Its availability in multiple languages and user-friendly interface on [https://harmonydata.ac.uk/app](https://harmonydata.ac.uk/app) only sweetens the deal. Harmony is the future of comparative psychology. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/ados-vs-bapq.md b/content/en/compare-harmonise-instruments/autism/ados-vs-bapq.md index 21bc510..c7e65d3 100644 --- a/content/en/compare-harmonise-instruments/autism/ados-vs-bapq.md +++ b/content/en/compare-harmonise-instruments/autism/ados-vs-bapq.md @@ -35,7 +35,7 @@ Harmony allows researchers to select instruments from its database or upload the -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md index 7103820..3df1d75 100644 --- a/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md +++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-ados.md @@ -35,7 +35,7 @@ Harmony, with its state-of-the-art technology and AI capabilities, can help you The comparison between these two scales, AOSI and ADOS, is critical in understanding their functional differences and drawing robust conclusions from them. Therefore, if you are a researcher or psychologist dealing with AOSI and ADOS, it's highly suggested that you utilize Harmony. No more going through long PDFs manually! Just drag and drop your questionnaires, whether it's AOSI, ADOS, or any other questionnaires pertaining to autism studies, into Harmony's user-friendly interface. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-10.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-10.md index fa7f573..63bc9fb 100644 --- a/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-10.md +++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-10.md @@ -35,7 +35,7 @@ The software provides an innovative solution for "AOSI vs AQ-10" by turning the In tackling the "AOSI vs AQ-10" comparison, Harmony proves to be an invaluable tool. Whether the researchers are handling their own instruments or leveraging Harmony's database, they'll find that this software saves time, minimizes subjectivity, and enables more accurate comparisons. Incorporating Harmony into the research process will undoubtedly elevate the understanding of relationships and insights from these tests. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-20.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-20.md index 249eaed..9773938 100644 --- a/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-20.md +++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-aq-20.md @@ -32,7 +32,7 @@ Harmony can make this process easier and more efficient. Harmony uses natural la You can select instruments from Harmony's database or drag and drop your own PDF instruments into the web interface. Comparing instruments like AOSI vs AQ-20 doesn't have to be a daunting task with Harmony. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md index e880bb7..7ed2afe 100644 --- a/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md +++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-bapq.md @@ -42,7 +42,7 @@ This can be extremely beneficial in establishing a correlation between the quest Given the diverse nature of these questionnaires, comparing AOSI vs BAPQ can pose significant challenges. Harmony simplifies this task by leveraging large language models that can even handle multiple languages. Its robust database allows for an easy comparison of a variety of instruments, both within and across different cohort and longitudinal studies. So if you’re looking to deepen your insights into autism research, consider using Harmony for comparing AOSI vs BAPQ and make your research more efficient and comprehensive. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md b/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md index e3ccb4f..e5ab169 100644 --- a/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md +++ b/content/en/compare-harmonise-instruments/autism/aosi-vs-chat.md @@ -37,7 +37,7 @@ Harmony can be highly advantageous for researchers wishing to conduct a comparat Therefore, for researchers interested in an in-depth comparative study of AOSI vs CHAT, Harmony brings an effortless solution to your table. Whether you wish to select instruments from Harmony's expansive database or upload your own PDFs, Harmony makes it all possible through its simple and responsive web interface. When dealing with AOSI vs CHAT, Harmony not only saves your precious time but also negates any subjectivity that could arise from manual comparison. It is undeniably a crucial asset for researchers dealing with AOSI vs CHAT and similar other comparative studies. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md b/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md index a2f90c2..1ef7471 100644 --- a/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md +++ b/content/en/compare-harmonise-instruments/autism/aq-10-vs-ados.md @@ -34,7 +34,7 @@ Harmony, designed specifically for psychologists and researchers, emerges as a g Harmony is capable of computing a percentage match, thereby quantifying how aligned each item is across the two instruments. Furthermore, Harmony boasts a built-in database loaded with a plethora of instruments, including but not limited to AQ-10 and ADOS, that users can readily access for comparative purposes. The AQ-10 vs ADOS comparison becomes more accessible, precise, and time-efficient with Harmony. Its [multilingual functionality](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) can be a game-changer for studies involving participants from diverse linguistic backgrounds. Harmony's adeptness at handling various languages broadens the scopes of cross-cultural studies examining autism. Harmony's user-friendly web interface further enhances the overall harmonisation process, encouraging researchers to perform comparative studies more frequently. Looking at AQ-10 vs ADOS, psychologists can undoubtedly benefit from the technological prowess that Harmony provides. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md b/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md index 38d1d0e..e8ae7f4 100644 --- a/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md +++ b/content/en/compare-harmonise-instruments/autism/aq-10-vs-aq-20.md @@ -35,7 +35,7 @@ Harmony facilitates the comparison of AQ-10 and AQ-20 by providing a percentage harmonising AQ-10 vs AQ-20 has never been easier with Harmony's database, which users can utilize, or they can also add their instruments in PDF form through the website's interface. As such, the tool is a must-have for those facing the AQ-10 vs AQ-20 comparison challenge, as it simplifies what could otherwise be a complex and time-consuming process. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aq-10-vs-bapq.md b/content/en/compare-harmonise-instruments/autism/aq-10-vs-bapq.md index 07fe69f..0bc4fc5 100644 --- a/content/en/compare-harmonise-instruments/autism/aq-10-vs-bapq.md +++ b/content/en/compare-harmonise-instruments/autism/aq-10-vs-bapq.md @@ -34,7 +34,7 @@ Harmony uses complex large language models to provide a percentage match between Moreover, Harmony transcends traditional language barriers by providing item comparison in multiple languages. This makes AQ-10 vs BAPQ comparison, even in different languages, simple, quick, and highly precise. With Harmony, researchers don't need to manually sift through long PDFs of questionnaires. Harmony is indeed the perfect tool for psychologists wanting to streamline their research and achieve highly accurate results. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md b/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md index d9f3df3..5fd2a1a 100644 --- a/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md +++ b/content/en/compare-harmonise-instruments/autism/aq-20-vs-ados.md @@ -38,7 +38,7 @@ Interested researchers and psychologists can effortlessly use the web interface -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md b/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md index 18b14a3..a67a618 100644 --- a/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md +++ b/content/en/compare-harmonise-instruments/autism/aq-20-vs-bapq.md @@ -35,7 +35,7 @@ Offering a user-friendly platform, Harmony makes comparing AQ-20 vs BAPQ seamles The use of this tool not only makes the process efficient, but also refines the research outcomes by reducing the subjectivity involved in the harmonisation process, creating a more robust, reliable, and globally applicable research methodology. For enhanced understanding and comparability of psychological studies, Harmony stands as an indispensable tool in the modern psychology research toolkit. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/chat-vs-ados.md b/content/en/compare-harmonise-instruments/autism/chat-vs-ados.md index 167aa4d..dfcc23e 100644 --- a/content/en/compare-harmonise-instruments/autism/chat-vs-ados.md +++ b/content/en/compare-harmonise-instruments/autism/chat-vs-ados.md @@ -34,7 +34,7 @@ But this challenge is made greatly simpler by using Harmony, a cutting-edge plat If you are a psychologist or researcher looking to perform a CHAT vs ADOS comparison, Harmony provides an efficient and straight-forward platform for this task. With the capability of accepting instruments in multiple languages, Harmony provides a user-friendly interface where researchers can freely explore the database of instruments or bring in their own. Simply visit https://harmonydata.ac.uk/app, and start your CHAT vs ADOS comparison today. Discover the impactful insights and potential discoveries that Harmony can bring to your research. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md b/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md index 487f514..7957eef 100644 --- a/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md +++ b/content/en/compare-harmonise-instruments/autism/chat-vs-aq-10.md @@ -35,7 +35,7 @@ Through innovative use of artificial intelligence, Harmony streamlines the tedio Both CHAT and AQ-10 provide essential assessments in the field of autism research. Similarities and differences in the construct design of each questionnaire can add depth to the analysis of research findings. Thus, making use of Harmony’s ability for CHAT vs AQ-10 comparison is a step that can add significant value to your research. To leverage Harmony’s power, visit https://harmonydata.ac.uk/app to start comparing questionnaires today. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/chat-vs-aq-20.md b/content/en/compare-harmonise-instruments/autism/chat-vs-aq-20.md index 11f7f45..05ca593 100644 --- a/content/en/compare-harmonise-instruments/autism/chat-vs-aq-20.md +++ b/content/en/compare-harmonise-instruments/autism/chat-vs-aq-20.md @@ -34,7 +34,7 @@ In CHAT vs AQ-20 analysis, Harmony goes beyond comparison to dispense value adde -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/autism/chat-vs-bapq.md b/content/en/compare-harmonise-instruments/autism/chat-vs-bapq.md index b6a62c1..abef3d4 100644 --- a/content/en/compare-harmonise-instruments/autism/chat-vs-bapq.md +++ b/content/en/compare-harmonise-instruments/autism/chat-vs-bapq.md @@ -33,7 +33,7 @@ Harmony, a sophisticated tool built using natural language processing and genera Harmony is a revolutionary tool in the field of psychology specifically and social sciences generally. The platform offers an accessible web interface where researchers can either select CHAT or BAPQ from their existing database or upload their own PDF forms of the instruments for harmonisation. Thus, whenever you are dealing with CHAT vs BAPQ or any other instruments for that matter, you may want to consider using Harmony as your go-to source for simplifying and accelerating your research. Gone are the days of individually sifting through long PDF files for questionnaire items, thanks to Harmony! -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-de-jong-gierveld-loneliness-scale.md index 1a95e91..1db72a6 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-de-jong-gierveld-loneliness-scale.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-de-jong-gierveld-loneliness-scale.md @@ -27,7 +27,7 @@ The Beck Anxiety Inventory (BAI) is a major measurement tool of anxiety symptoms -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Try Harmony" copy="Compare Beck Anxiety Inventory and De Jong Gierveld Loneliness Scale " url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-12.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-12.md index 375384d..32a0a1b 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-12.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-12.md @@ -41,7 +41,7 @@ With a massive language model to compare the instruments, it provides a percenta -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-28.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-28.md index 555ad20..b88e2f0 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-28.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-28.md @@ -38,7 +38,7 @@ Harmony simplifies the comparison process by applying advanced AI to evaluate th If you are a psychologist seeking to compare the Beck Anxiety Inventory and GHQ-28 to gain better insights into anxiety, consider using Harmony. This AI tool can provide a percentage match between the items in multiple languages, making it versatile for multinational studies. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-30.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-30.md index 757b043..9bcd961 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-30.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-ghq-30.md @@ -34,7 +34,7 @@ Harmony is a software designed to simplify and expedite the process of questionn With Harmony, researchers can easily compare items within and across these questionnaires. Harmony even has the capability to compare items in multiple languages, thus broadening the scope of possible research studies. Using Harmony is as easy as selecting the instruments from Harmony's database or uploading your own instruments in PDF form. In the comparison of Beck Anxiety Inventory vs GHQ-30, Harmony will scan through each item in both instruments and provide a percentage match between them. This efficient tool enables researchers to conduct more accurate, reliable, and diverse studies by ensuring that the items in the Beck Anxiety Inventory and GHQ-30 are correctly matched. Therefore, if you are looking for an innovative and efficient solution to harmonise your psychological questionnaires, the Beck Anxiety Inventory vs GHQ-30 comparison will no longer be a tedious task with Harmony software. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-mfq.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-mfq.md index 3fb323f..f5fb025 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-mfq.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-mfq.md @@ -34,7 +34,7 @@ Harmony uses natural language processing and generative AI models to compare and Harmony can perform this process even in multiple languages, enabling global and cross-cultural research studies. In the endeavor of comparing Beck Anxiety Inventory vs MFQ, researchers can simply utilize Harmony by selecting the required instruments from its robust database or uploading their own instruments in PDF form. This web-based tool offers a simplified and user-friendly interface for ease of use. Furthermore, Harmony's advanced AI technology allows the researchers to perform repeated longitudinal analysis across various studies with ease, hence enabling the exploration of consistent results or differential responses under changing social conditions. Therefore, for researchers in the domain of psychology and social sciences, the recommendation is clear – leverage the Harmony tool when comparing Beck Anxiety Inventory vs MFQ. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md index 08a63a9..81d1500 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-psf.md @@ -35,7 +35,7 @@ The Beck Anxiety Inventory vs PSF comparison can be much easier, more accurate, Sifting through lengthy PDFs and manually matching questions becomes a thing of the past. Harmony analyses the items from each questionnaire and offers a percentage match for each item, making it easier to determine the similarities. Why manually do when AI can assist in more reliable and efficient manner? Use Harmony to compare the Beck Anxiety Inventory vs PSF and derive insightful conclusions. With Harmony's intuitive web interface, you can easily select instruments from the provided database, or upload your questionnaire in PDF form. Plus, Harmony's powerful AI can handle comparisons in multiple languages. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md index 4496f0a..81b1230 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-rcads.md @@ -34,7 +34,7 @@ Harmony, using its advanced natural language processing and AI models, allows th For psychologists and researchers who require exhaustive comprehension of assessments like the Beck Anxiety Inventory vs RCADS, Harmony is an invaluable analytical tool. By digitizing the process of juxtaposing and harmonising the distinct aspects of these assessments, Harmony presents a user-friendly solution, helping the researchers to test their hypotheses more accurately and validate their results against a much wider set of comparisons. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-scared.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-scared.md index 5ad38fa..14f9d8c 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-scared.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-scared.md @@ -38,7 +38,7 @@ This comparison, termed harmonisation, is a vital process but can be extremely t This capability of Harmony does not restrict to comparing Beck Anxiety Inventory vs SCARED (adult) but can be extended to other instruments as well. With Harmony, you can either choose instruments from its database or upload your own PDF questionnaires to get comparison results. Harmony has a significant advantage that it can compare items in multiple languages, breaking the language barrier in research work. Therefore, if psychologists and social scientists need to compare Beck Anxiety Inventory vs SCARED (adult), Harmony should be their go-to solution. Visiting Harmony's web interface can start off the journey of easy, quick, and unbiased harmonisation, bringing a revolutionary change in the field of psychological research. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md index ad0e6ae..2f0b518 100644 --- a/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md +++ b/content/en/compare-harmonise-instruments/beck-anxiety-inventory-vs-smfq.md @@ -34,7 +34,7 @@ Harmony's robust database allows you to pick and compare instruments of your cho -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/ces-d-vs-beck-anxiety-inventory.md index 8ab7afe..d6cdbae 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-beck-anxiety-inventory.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-beck-anxiety-inventory.md @@ -9,7 +9,7 @@ aliases: As mental health professionals and researchers, finding a useful and efficient footing for questionnaire harmonisation is crucial for accurate, comparative analysis. Harmony, the innovative, AI-powered software, is here to help in navigating this often complex process. -{{< image src="images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} +{{< image src="/images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} One common comparative analysis that psychologists encounter is comparing data collected with the CES-D vs data collected with the Beck Anxiety Inventory matchup. The CES-D (Center for Epidemiological Studies-Depression) questionnaire measures symptoms linked to depression, whereas the Beck Anxiety Inventory (BAI) zeroes in on anxiety's cognitive and somatic signals. While both instruments address the similar theme of emotional distress, their unique parameters make it challenging to compare without meticulous harmonisation. diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md b/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md index 6ec7e92..9f695b3 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-cbcl.md @@ -38,7 +38,7 @@ Furthermore, Harmony’s user-friendly web interface allows you to simply drag a -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/ces-d-vs-de-jong-gierveld-loneliness-scale.md index 317e3b4..0e8a1b3 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-de-jong-gierveld-loneliness-scale.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-de-jong-gierveld-loneliness-scale.md @@ -41,7 +41,7 @@ Psychologists comparing CES-D vs De Jong Gierveld Loneliness Scale using Harmony Harmony is a tremendous asset to psychologists harmonising and comparing psychological scales. Considerable potential lies in using this software to conduct meta-analyses of data gathered using both CES-D and De Jong Gierveld Loneliness Scale. Through Harmony, researchers can untangle the complex relationship between these two measures and contribute valuable insights to the field of psychology. By easing the process of comparison and harmonisation, Harmony enables deep, meaningful interpretations of questionnaire data. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-ghq-30.md b/content/en/compare-harmonise-instruments/ces-d-vs-ghq-30.md index 1029588..c903595 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-ghq-30.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-ghq-30.md @@ -40,7 +40,7 @@ For researchers working on CES-D vs GHQ-30 and similar studies, Harmony signific -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-mfq.md b/content/en/compare-harmonise-instruments/ces-d-vs-mfq.md index e6a7c7c..284d7e8 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-mfq.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-mfq.md @@ -38,7 +38,7 @@ Harmony is a powerful tool for psychologists conducting CES-D vs MFQ comparisons -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-phq.md b/content/en/compare-harmonise-instruments/ces-d-vs-phq.md index 8eaa254..a8b7828 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-phq.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-phq.md @@ -43,7 +43,7 @@ For instance, CES-D tends to focus on affective components of depressive symptom Thankfully, psychologists now have a powerful resource in Harmony, a software developed specifically for the harmonisation of research instruments. Harmony employs generative artificial intelligence models and natural language processing, effectively eliminating the manual labour involved in the CES-D vs PHQ comparison. With this tool, researchers can simply select CES-D and PHQ from Harmony’s database or upload the PDF instruments. The software then gives a percentage match between each item in CES-D and PHQ, considerably simplifying and objectifying the comparison process. This innovative solution even extends comparison functionalities to multilingual contexts. Harmony's easy-to-use web interface is further aimed at streamlining the harmonisation process and promoting cross-study comparability. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-pss-10.md b/content/en/compare-harmonise-instruments/ces-d-vs-pss-10.md index da05bfd..aaec9f8 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-pss-10.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-pss-10.md @@ -39,7 +39,7 @@ In the case of CES-D vs PSS-10, Harmony also offers the possibility of comparing -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-rcads.md b/content/en/compare-harmonise-instruments/ces-d-vs-rcads.md index 31ce075..c171b9e 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-rcads.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-rcads.md @@ -34,7 +34,7 @@ However, deriving meaningful insights could be challenging due to the different This lessens the sometimes subjective nature of harmonisation, leading to more robust and valid comparisons. Harmony enhances the process by allowing researchers to directly import instruments in PDF format, eliminating tedious manual work and reducing errors. CES-D vs RCADS has never been this effortless. Harmony steps beyond linguistic borders by comparing items across multiple languages. This feature is quite essential when considering scales like CES-D and RCADS that are used worldwide. It ensures that linguistic differences do not come in the way of valuable research and allows for a globally inclusive analysis. If you are a researcher planning to compare CES-D vs RCADS, Harmony is the go-to tool for an efficient and comprehensive harmonisation process. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-scared.md b/content/en/compare-harmonise-instruments/ces-d-vs-scared.md index e742099..939de1a 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-scared.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-scared.md @@ -35,7 +35,7 @@ For psychologists looking to draw comparisons across instruments, we highly reco -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md b/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md index 895a0c6..b175e49 100644 --- a/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md +++ b/content/en/compare-harmonise-instruments/ces-d-vs-smfq.md @@ -41,7 +41,7 @@ Furthermore, Harmony boasts [multilingual support](/nlp-semantic-text-matching/h -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md b/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md index 6c47986..b7cd53a 100644 --- a/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md +++ b/content/en/compare-harmonise-instruments/de-jong-gierveld-loneliness-scale-vs-scared.md @@ -33,7 +33,7 @@ Comparing the [De Jong Gierveld Loneliness](/compare-harmonise-instruments/gad-7 By using Harmony, researchers can select these instruments from the database or upload their own versions. Harmony is specifically designed to aid in such comparisons by using large language models that provide a percentage match between each item in both scales. Harmony’s ability to compare items in multiple languages adds a valuable layer of potential international research collaboration. The comparison between the De Jong Gierveld Loneliness Scale and SCARED (adult) can thus be conducted in a much simpler, quicker, and more effective manner, reducing the time spent on harmonisation and increasing the time for analysis and interpretation. With Harmony, the comparison of De Jong Gierveld Loneliness Scale vs SCARED (adult) becomes a straightforward process. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md index 2152faf..9d57b2f 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory.md @@ -9,7 +9,7 @@ aliases: When it comes to measuring the severity of [anxiety](/discover-data/anxiety-datasets-and-studies/), there are a couple of standard tools often used by psychologists - the Generalised Anxiety Disorder Assessment (GAD-7) and the Beck Anxiety Inventory (BAI). -{{< image src="images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} +{{< image src="/images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} However, accurately comparing these two instruments can be intricate, subjective, and time-consuming - that's where Harmony comes in. diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md b/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md index 37d9059..dd060f8 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-cbcl.md @@ -49,7 +49,7 @@ It uses the power of natural language processing and generative AI models to acc | 8 | If you checked any problems, how difficult have they made it for you to do your work, take care of things at home, or get along with other people? | -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/gad-7-vs-de-jong-gierveld-loneliness-scale.md index 8a4e681..ab49fe2 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-de-jong-gierveld-loneliness-scale.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-de-jong-gierveld-loneliness-scale.md @@ -44,7 +44,7 @@ Harmony, a software developed for psychologists, simplifies this task. With its | 8 | If you checked any problems, how difficult have they made it for you to do your work, take care of things at home, or get along with other people? | -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md b/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md index 438676e..5dae4cf 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-ghq-30.md @@ -50,7 +50,7 @@ Harmony can do more than just compare English language instruments such as GAD-7 | 8 | If you checked any problems, how difficult have they made it for you to do your work, take care of things at home, or get along with other people? | -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md b/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md index 036f8ec..c40deba 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-mfq.md @@ -49,7 +49,7 @@ The user-friendly interface of Harmony allows users to select instruments from a | 8 | If you checked any problems, how difficult have they made it for you to do your work, take care of things at home, or get along with other people? | -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md b/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md index e952260..3d1a357 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-pss-10.md @@ -50,7 +50,7 @@ In conclusion, psychologists interested in examining GAD-7 vs PSS-10 should stro | 8 | If you checked any problems, how difficult have they made it for you to do your work, take care of things at home, or get along with other people? | -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md b/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md index c24346c..dea80e6 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-rcads.md @@ -50,7 +50,7 @@ This allows researchers to view similarities and differences at a glance, signif -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-scared.md b/content/en/compare-harmonise-instruments/gad-7-vs-scared.md index 465ab1c..c22629a 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-scared.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-scared.md @@ -48,7 +48,7 @@ As an added convenience, Harmony's platform allows researchers to select instrum -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md b/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md index 5d45e3f..200644b 100644 --- a/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md +++ b/content/en/compare-harmonise-instruments/gad-7-vs-smfq.md @@ -51,7 +51,7 @@ Harmony’s AI-powered process permits a comprehensive comparison by providing a | 8 | If you checked any problems, how difficult have they made it for you to do your work, take care of things at home, or get along with other people? | -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md index 835032c..1ad5cf7 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-beck-anxiety-inventory.md @@ -9,7 +9,7 @@ aliases: As researchers, we are consistently working with a multitude of questionnaires and surveys, daily deciphering the threads that tie relations between them. This is where Harmony comes into the picture as it helps streamline this process, most notably in the comparison of GHQ 12 vs Beck Anxiety Inventory. -{{< image src="images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} +{{< image src="/images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} GHQ 12, short for the General Health Questionnaire-12, is a widely used measure for detecting psychological distress. But how accurately does it stand against the 21-question Beck Anxiety Inventory (BAI) designed for assessing the severity of anxiety? This is where the comparison of GHQ 12 vs Beck Anxiety Inventory becomes an intriguing area of study for psychologists, and using Harmony software makes this analysis remarkably simpler. diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md b/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md index ba83064..fcabe3c 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-cbcl.md @@ -33,7 +33,7 @@ One of the significant uses of Harmony is that it can not only efficiently compa Through optimization of longitudinal comparisons between GHQ-12 vs CBCL, Harmony can contribute to testing the consistency of results across different studies. In the context of multi-language instruments as in the comparison between GHQ-12 vs CBCL, Harmony’s ability to facilitate analysis across different languages further underscores its immense utility. Whether you wish to examine the unidimensionality of GHQ-12 or explore the multidimensional structures of the CBCL, Harmony provides an effortless, streamlined process for reliable harmonisation and comparison. For psychological researchers who aim to enrich their practice through enhanced harmonisation, Harmony stands out as an essential tool of choice. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md index 89e14f3..248f4b6 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-de-jong-gierveld-loneliness-scale.md @@ -26,7 +26,7 @@ Researchers and psychologists often find themselves attempting to draw compariso * [CES-D vs PSS-10](/compare-harmonise-instruments/ces-d-vs-pss-10) -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} The GHQ 12 vs De Jong Gierveld Loneliness Scale comparison is made seamlessly easy and more efficient by utilizing Harmony software. Harmony uses advanced AI and natural language processing technology to help users quickly match and harmonise items — expressed in different ways or even languages — across arrays of questionnaires. In doing so, this cutting-edge tool enables experts to test, for example, whether patterns of results on the GHQ 12 and De Jong Gierveld Loneliness Scale are consistent across multiple studies. This comparison can be even more insightful if you use Harmony for GHQ 12 vs De Jong Gierveld Loneliness Scale. With Harmony, you don't have to get caught up in the subjective and time-consuming process of manually aligning items from these two instruments. Harmony's powerful AI engine does the hard lifting for you, providing a percentage match between items, even comparing items in multiple languages. The availability of multiple instruments in Harmony's database and an easy-to-use web interface enhance the harmonisation process, making GHQ 12 vs De Jong Gierveld Loneliness Scale comparison a breeze. diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-ghq-30.md b/content/en/compare-harmonise-instruments/ghq-12-vs-ghq-30.md index a88988d..1ae5fa1 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-ghq-30.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-ghq-30.md @@ -27,7 +27,7 @@ The General Health Questionnaire (GHQ) is a widely utilised measure for detectin -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Try Harmony" copy="Compare GHQ-12 and GHQ-30 " url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-mfq.md b/content/en/compare-harmonise-instruments/ghq-12-vs-mfq.md index 7e181b4..3a1b684 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-mfq.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-mfq.md @@ -37,7 +37,7 @@ Harmony, a specially designed software for psychologists, uses natural language Using Harmony to compare GHQ 12 vs MFQ does not only streamline the process but also helps in avoiding subjectivity. The software’s aptness to evaluate questionnaires even in different languages further makes it a go-to tool for international research investigations. Thus, using Harmony offers an efficient means to comprehend the parallels and diversities in GHQ 12 vs MFQ, thereby ultimately fostering a richer understanding of psychological distress and depression in children and adolescents. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md b/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md index 5090c45..d068cac 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-pss-10.md @@ -36,7 +36,7 @@ Both questionnaires are invaluable in understanding the intricate nature of ment Harmony, with its advanced algorithms using natural language processing and generative AI models, can systematically compare GHQ-12 and PSS-10 and provide a percentage match. It simplifies the task of harmonisation, while ensuring an objective analysis. For researchers comparing **GHQ-12 vs PSS-10**, Harmony's functionalities spare them the tedious process of going through long PDFs and manually putting the questions into Excel. Harmony also offers versatility in terms of language. It is an inclusive tool that can compare and harmonise between **GHQ-12 and PSS-10** items in multiple languages. The comparison doesn't stop at GHQ-12 and PSS-10. You can select from Harmony's database or drop your own instruments in a PDF into Harmony's web interface. Thus, Harmony not only offers a solution to your GHQ-12 vs PSS-10 comparison needs but also extends its capabilities to a variety of other tools, making it an indispensable asset for researchers in psychology and social sciences. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-rcads.md b/content/en/compare-harmonise-instruments/ghq-12-vs-rcads.md index 97890ce..3cfdcc4 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-rcads.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-rcads.md @@ -40,7 +40,7 @@ Featuring an easy-to-use web interface, Harmony is designed to streamlines the h Thus, the once tedious process of comparing GHQ-12 vs RCADS becomes a breeze with Harmony. Moreover, Harmony's capabilities reach far beyond straightforward English language metrics. Are you needing to compare GHQ-12 vs RCADS across different languages? No problem. Harmony's generative AI models are well-equipped to handle comparisons in multiple languages. Researchers seeking to test the consistency of longitudinal analysis across a number of studies, or detect responses to changing social conditions, will surely find Harmony to be a valuable addition to their toolset. So why wait? Visit https://harmonydata.ac.uk/app today, and experience harmonisation like never before. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-scared.md b/content/en/compare-harmonise-instruments/ghq-12-vs-scared.md index 97d5afd..fbb1250 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-scared.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-scared.md @@ -34,7 +34,7 @@ Here's where Harmony, a software tool specifically developed for psychologists, Comparing GHQ-12 vs SCARED no longer needs to be a laborious process when using Harmony. This software can give a percentage match between each item in GHQ 12 and SCARED (adult), allowing researchers to objectively compare these two distinct measurement tools. It allows users to either select questionnaires from its database or directly upload the PDFs into its web interface. Moreover, Harmony supports comparisons of items in multiple languages, making it an invaluable tool for international studies. In conclusion, the GHQ 12 vs SCARED (adult) comparison is made notably easier utilising Harmony. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} GHQ-12, being a popular tool for detecting psychological distress, and SCARED (adult), being equally significant, leaves researchers with the necessity for an objective approach in comparing these tools. Fortunately, Harmony provides the technology and accessibility to conduct such tasks in a significantly reduced timeframe, thereby streamlining research workflows and enhancing study results. diff --git a/content/en/compare-harmonise-instruments/ghq-12-vs-smfq.md b/content/en/compare-harmonise-instruments/ghq-12-vs-smfq.md index 498f0ff..567bade 100644 --- a/content/en/compare-harmonise-instruments/ghq-12-vs-smfq.md +++ b/content/en/compare-harmonise-instruments/ghq-12-vs-smfq.md @@ -38,7 +38,7 @@ Harmony has a user-friendly interface where researchers can either select the GH With Harmony’s assistance, researchers can reduce the potential biases and subjectivity intrinsic to manual harmonisation. In summary, making comparisons between GHQ 12 and SMFQ has never been easier or more efficient — thanks to Harmony. So, whether you are a psychologist wishing to cross-examine data across studies or a social scientist looking to examine social conditions, Harmony is the tool you're searching for. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md index e1e50c2..8047dfc 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory.md @@ -13,7 +13,7 @@ In psychological research, comparing and contrasting different questionnaires is Both are predominant instruments used to evaluate patients' mental health. So, how can we accurately map these two instruments and streamline our research? Enter Harmony - your ultimate tool for convenient harmonisation. -{{< image src="images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} +{{< image src="/images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md b/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md index 71ed783..1c1c0d4 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-cbcl.md @@ -36,7 +36,7 @@ The software presents a percentage match between the individual items in PHQ-9 a -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md index 6acda1a..4f72634 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-de-jong-gierveld-loneliness-scale.md @@ -9,7 +9,7 @@ aliases: The agenda of psychological research often encounters the need for comparison and harmonisation of different psychometric instruments. One of such example is comparison between PHQ-9, a widespread diagnostic instrument for mental disorders, and De Jong Gierveld Loneliness Scale, a widely-used tool for assessing loneliness. The **PHQ-9 vs De Jong Gierveld Loneliness Scale** comparison requires a time-consuming and subjective process, which might not be efficient for researchers. This is where Harmony software can offer significant assistance. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Try Harmony" copy="Compare PHQ-9 and De Jong Gierveld Loneliness Scale " url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-mfq.md b/content/en/compare-harmonise-instruments/phq-9-vs-mfq.md index 3d88bc4..c97c26f 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-mfq.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-mfq.md @@ -37,7 +37,7 @@ Harmony is a tool that uses progressive natural language processing and artifici This software not only quickens the process but also ensures a higher degree of accuracy than manually comparing the two questionnaires. Hence, using Harmony for the evaluation of PHQ-9 vs MFQ presents clear advantages for psychologists and researchers, saving them from the tedious tasks of manual harmonisation and errors in comparison. Furthermore, Harmony's innovative feature to compare items in multiple languages enhances its usability on a global scale. This feature can prove particularly beneficial while comparing PHQ-9 vs MFQ in non-English speaking populations, hence increasing the scope and validity of studies. All of this can be accomplished within a user-friendly interface where you can easily select instruments from a broad database or upload your own in a PDF format. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md b/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md index 1f5b364..fea2dec 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-pss-10.md @@ -38,7 +38,7 @@ Harmony is a software designed specifically to aid psychologists and researchers It has a multi-language capability, making it a versatile tool for international studies. The process of using Harmony is seamless and user-friendly. All it requires is to select your instruments from its extensive database or directly drag and drop your own devices in PDF format unto its web interface. So, for any study involving the PHQ-9 vs PSS-10, Harmony is the perfect tool for you. By making comparisons easier and more efficient, taking advantage of this tool will significantly enhance the quality and validity of your study results. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md b/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md index 1d58711..5358f7d 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-rcads.md @@ -40,7 +40,7 @@ Harmony utilizes advanced natural language processing and generative AI models t -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-scared.md b/content/en/compare-harmonise-instruments/phq-9-vs-scared.md index acc6b50..14b5161 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-scared.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-scared.md @@ -26,7 +26,7 @@ Harmony has the ability not only to compare standardised questionnaires like the -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Try Harmony" copy="Compare PHQ-9 and SCARED (adult) " url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md b/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md index 730e457..edb6c98 100644 --- a/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md +++ b/content/en/compare-harmonise-instruments/phq-9-vs-smfq.md @@ -39,7 +39,7 @@ Harmony employs large language models that enable it to compare individual compo Rigorous manual comparison of PHQ-9 vs SMFQ not only takes a hefty amount of time but is also subjected to the risk of subjective interpretation. Employing Harmony's cutting-edge features can save time, enhance objectivity, and even possibly shed light on overlooked aspects of comparative analyses between PHQ-9 vs SMFQ. Its inclusive engagement with a variety of test instruments and [multilingual support](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) further proves it to be a vital tool for psychological and social science research. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/sdq-vs-beck-anxiety-inventory.md b/content/en/compare-harmonise-instruments/sdq-vs-beck-anxiety-inventory.md index 6a5ee70..d46f03b 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-beck-anxiety-inventory.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-beck-anxiety-inventory.md @@ -11,7 +11,7 @@ When we talk about powerful psychological assessment tools, the Strengths and Di These tools have provided psychometric insights into the behavioural and emotional states of individuals across the world. However, comparing these two questionnaires, or harmonising their items, can often be an arduous and laborious process. -{{< image src="images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} +{{< image src="/images/GAD-7-vs-Becks.drawio-min.png" alt="dog" title="dog" >}} **Harmony** is a free tool that streamlines not just this SDQ vs Beck Anxiety Inventory challenge but all harmonisation processes in psychological research. Harmony is a software tool that leverages natural language processing and advanced AI models to help psychologists and social scientists harmonise different questionnaire items. diff --git a/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md b/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md index 183fe9c..2d0ece5 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-cbcl.md @@ -36,7 +36,7 @@ The software provides a percentage match between each item in SDQ and CBCL, effe Additionally, Harmony allows users to either select instruments from its expansive database, or directly insert their PDFs of questionnaires into the web interface. This makes the process of comparing SDQ vs CBCL both user-friendly and efficient. Harmony's multilingual competency expands the horizons of the comparative analysis between SDQ and CBCL. This crucial feature fulfills a significant requirement for researchers by allowing a comparison of the items in multiple languages. It emphasizes the versatility of the Harmony software in handling the SDQ vs CBCL comparison and providing a comprehensive platform for researchers to explore. Trust Harmony to facilitate seamless and quick harmonisation, helping streamline the research process for psychologists and social scientists. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/sdq-vs-de-jong-gierveld-loneliness-scale.md b/content/en/compare-harmonise-instruments/sdq-vs-de-jong-gierveld-loneliness-scale.md index c1695df..059f168 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-de-jong-gierveld-loneliness-scale.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-de-jong-gierveld-loneliness-scale.md @@ -10,7 +10,7 @@ aliases: Comparing different instruments used in psychological research can often seem like an overwhelming task due to their varying item structures and contexts. One such example includes the comparison between the Strengths and Difficulties Questionnaire (SDQ) and the De Jong Gierveld Loneliness Scale. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Try Harmony" copy="Compare SDQ and De Jong Gierveld Loneliness Scale " url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/compare-harmonise-instruments/sdq-vs-mfq.md b/content/en/compare-harmonise-instruments/sdq-vs-mfq.md index f993ed8..eded3c3 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-mfq.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-mfq.md @@ -37,7 +37,7 @@ The SDQ vs MFQ comparative process benefits greatly from Harmony’s unique abil SDQ vs MFQ comparison might sound like a complex procedure, but Harmony's natural language processing and generative AI models make it user-friendly. You can either select from Harmony's wide database or upload your custom instruments as PDFs, offering limitless possibilities in probing SDQ vs MFQ. Harmony is an exceptional tool for psychologists aiming to study and compare instruments like SDQ and MFQ efficiently. The advanced technology that Harmony uses provides a remarkable way to standardize and improve research methodology. So next time when you look into SDQ vs MFQ comparison, utilizing Harmony would make the analysis not just easy, but also more precise and reliable. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/sdq-vs-pss-10.md b/content/en/compare-harmonise-instruments/sdq-vs-pss-10.md index 1696a92..132e66e 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-pss-10.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-pss-10.md @@ -39,7 +39,7 @@ Harmony, by employing advanced natural language processing and AI technology, si Finding correlations between these two diverse but crucial instruments can provide insightful findings in psychological studies. Harmony significantly reduces the time taken to collate and compare data between SDQ vs PSS-10, allowing for both intra and inter-study comparisons. By using Harmony's user-friendly interface, researchers can either select from a database of pre-existing questionnaires or upload their own instruments for comparison. The system can conveniently handle and process PDF formats, making comparison between complex instruments such as SDQ vs PSS-10 a breeze. More impressively, Harmony boasts multi-language support that expands research possibilities and ensures the software’s utility in a variety of contexts around the globe. Therefore, for seamless, speedy, and accurate harmonisation, Harmony is the tool of choice for psychologists when comparing SDQ vs PSS-10. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/sdq-vs-rcads.md b/content/en/compare-harmonise-instruments/sdq-vs-rcads.md index c5b990e..c3edc39 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-rcads.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-rcads.md @@ -36,7 +36,7 @@ It calculates a percentage match between each item in SDQ and RCADS and also all Simply select the instruments from Harmony's database or upload your own for an efficient and straightforward comparison process. Visit [Harmony's web interface](https://harmonydata.ac.uk/app) and experience the power of AI in psychological research in the comparative study of SDQ and RCADS. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/compare-harmonise-instruments/sdq-vs-scared.md b/content/en/compare-harmonise-instruments/sdq-vs-scared.md index dd74242..5ec2ec7 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-scared.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-scared.md @@ -30,7 +30,7 @@ The need for reliable tools to facilitate such analysis is evident, and this is * Import just SCARED (adult) into Harmony - compare SCARED with other instruments -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Try Harmony" copy="Compare SDQ and SCARED (adult) " url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/compare-harmonise-instruments/sdq-vs-smfq.md b/content/en/compare-harmonise-instruments/sdq-vs-smfq.md index 19b78a5..7a1fe71 100644 --- a/content/en/compare-harmonise-instruments/sdq-vs-smfq.md +++ b/content/en/compare-harmonise-instruments/sdq-vs-smfq.md @@ -36,7 +36,7 @@ The SDQ vs SMFQ comparison doesn't have to be a tedious process anymore; with Ha -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} diff --git a/content/en/fair-data.md b/content/en/fair-data.md index 3cf4590..33d535a 100644 --- a/content/en/fair-data.md +++ b/content/en/fair-data.md @@ -8,7 +8,7 @@ The [FAIR principles](https://www.go-fair.org/fair-principles/) are a set of gui The FAIR principles were published in *Nature* in 2016 to address the difficulties in reproducing scientific research. Funding organisations, publishers, and governmental agencies are increasingly beginning to require data management plans for data generated in research. This means that if you find a scientific paper and want to reproduce the study, you should be able to reproduce the research with minimal friction. -{{< image src="images/fair.png" alt="Fair" >}} +{{< image src="/images/fair.png" alt="Fair" >}} ## How is Harmony following FAIR principles? diff --git a/content/en/frequently-asked-questions.md b/content/en/frequently-asked-questions.md index 055bc6b..bf53c23 100644 --- a/content/en/frequently-asked-questions.md +++ b/content/en/frequently-asked-questions.md @@ -99,7 +99,7 @@ If you imagine as a human, trying to match items in a questionnaire, you might d We can represent [any concept](/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/) as a vector of length 1, pointing to the surface of a sphere. Concepts that are similar have vectors close together. The cosine score of two vectors that are close together is close to 1. -{{< image src="images/sphere.svg" alt="sphere" >}} +{{< image src="/images/sphere.svg" alt="sphere" >}} *You can try playing with a large language model in your browser [in this blog post](https://fastdatascience.com/natural-language-processing/semantic-similarity-with-sentence-embeddings/). Input two sentences and you can see the vector values and the cosine similarity.* @@ -115,5 +115,5 @@ We have developed Harmony as an open-source and open science initiative, paying We recently did a user-testing at [UCL](https://ucl.ac.uk)’s [Centre for Longitudinal Studies (CLS)](https://cls.ucl.ac.uk/) with psychology researchers from several universities. After the session, one postdoctoral researcher said: -{{< image src="images/quote.png" alt="quote" >}} +{{< image src="/images/quote.png" alt="quote" >}} diff --git a/content/en/item-harmonisation.md b/content/en/item-harmonisation.md index 5f52115..1dd2a63 100644 --- a/content/en/item-harmonisation.md +++ b/content/en/item-harmonisation.md @@ -20,7 +20,7 @@ However, traditional item harmonisation can be a nightmare. As the study by Hoff Harmony is a free online tool that leverages the power of [natural language processing (NLP)](/nlp-semantic-text-matching/measuring-the-performance-of-nlp-algorithms/) and [generative AI models](/nlp-semantic-text-matching/) to streamline item harmonisation. -{{< image src="images/gad7-becks.jpg" alt="dog" title="dog" >}} +{{< image src="/images/gad7-becks.jpg" alt="dog" title="dog" >}} {{< card heading="Harmonise items with Harmony" copy="Item harmonisation with Harmony" url="https://harmonydata.ac.uk/app" >}} diff --git a/content/en/tracker.md b/content/en/tracker.md index 2323746..bfe006e 100644 --- a/content/en/tracker.md +++ b/content/en/tracker.md @@ -8,7 +8,7 @@ Have you found a problem with Harmony? You can use the links on the Harmony homepage at harmonydata.ac.uk - you can see there are buttons titled *Raise NLP issue* and *Raise UI issue*, which take you to the process for logging issues in Github. -{{< image src="images/blog/raise-issue.png" alt="Screenshot" >}} +{{< image src="/images/blog/raise-issue.png" alt="Screenshot" >}} The issues remain in the issue trackers and can be assigned to people either under "Assignee" or in the comments: diff --git a/content/pt/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md b/content/pt/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md index e4d56f0..db7618e 100644 --- a/content/pt/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md +++ b/content/pt/blog/back-to-the-future-retrospectively-harmonizing-questionnaire-data.md @@ -17,7 +17,7 @@ Como os pesquisadores podem harmonizar medidas tão complexas? Uma opção seria Uma abordagem alternativa é aplicar a harmonização retrospectiva no nível do item. Embora os questionários possam diferir consideravelmente no número e na natureza das perguntas feitas, muitas vezes há uma sobreposição considerável no nível semântico/conteúdo. Voltemos ao nosso exemplo anterior de depressão. Embora existam muitos questionários diferentes que podem ser usados para avaliar essa experiência, eles geralmente fazem os mesmos tipos de perguntas. Abaixo está um exemplo de sobreposição de conteúdo em duas das medidas mais comuns de sofrimento psicológico usadas em crianças, a Escala Revisada de Ansiedade e Depressão Infantil (RCADS) e o Questionário de Humor e Sentimentos (MFQ). -{{< image src="images/blog/blog-pic-1.png" alt="img" >}} +{{< image src="/images/blog/blog-pic-1.png" alt="img" >}} Ao identificar, recodificar e testar a equivalência de subconjuntos de itens de diferentes questionários (para obter diretrizes, consulte nosso relatório anterior), os pesquisadores podem derivar subescalas harmonizadas que são diretamente comparáveis entre os estudos. Nosso grupo já usou essa abordagem para estudar tendências em saúde mental em diferentes gerações (Gondek et al., 2021) e examinar como a privação socioeconômica afetou a saúde mental de adolescentes em diferentes coortes (McElroy et al., 2022). diff --git a/content/pt/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md b/content/pt/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md index da43df6..5254cbb 100644 --- a/content/pt/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md +++ b/content/pt/blog/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on.md @@ -13,7 +13,7 @@ Ontem, a [ equipe Harmony ](https://harmonydata.ac.uk/team/) recebeu a maravilho A implementação bem-sucedida e a sustentabilidade de produtos digitais desenvolvidos por meio de financiamento de bolsas de pesquisa têm sido surpreendentemente baixas. Vimos isso especialmente no campo da saúde mental digital, onde milhares de aplicativos e plataformas foram desenvolvidos e apenas alguns poucos foram implementados e sustentados na natureza. A partir desta linha de [ pesquisa ](https://www.psychiatrist.com/jcp/psychiatry/implementing-digital-mental-health-interventions/#ref16) e [ meu próprio trabalho com colegas ](https://www.jmir.org/2022/11/e40347) Sei que inovação e eficácia por si só não são suficientes para garantir a adoção no mundo real. -{{< image src="images/blog/noah-buscher-x8ZStukS2PM-unsplash-1536x880.jpg" alt=" noah buscher" >}} +{{< image src="/images/blog/noah-buscher-x8ZStukS2PM-unsplash-1536x880.jpg" alt=" noah buscher" >}} Então, como podemos maximizar a aceitação e implementação do Harmony para dar a ele uma vida útil mais longa? Vou me basear no campo da ciência da implementação [ [i\ ]](https://harmonydata.ac.uk/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on/#_edn1) que fornece insights úteis e [ frameworks ](https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-8-139#Abs1) em compartilhar algumas reflexões sobre como isso pode ser feito e o que nós e nossos colegas de equipe podemos querer focar nesta fase. @@ -48,7 +48,7 @@ Então, como podemos maximizar a aceitação e implementação do Harmony para d Desejamos a todas as equipes remanescentes do Wellcome Mental Health Data Prize um ótimo começo para a próxima fase. Estamos muito animados. -{{< image src="images/blog/kelsey-knight-SFRw5GChoLA-unsplash-1-1536x1024.jpg" alt="kelsey knight" >}} +{{< image src="/images/blog/kelsey-knight-SFRw5GChoLA-unsplash-1-1536x1024.jpg" alt="kelsey knight" >}} ------ [[i\]](https://harmonydata.ac.uk/harmony-going-forward-5-things-implementation-science-has-taught-us-to-focus-on/#_ednref1) defined as the study of methods to promote the systematic uptake of research findings and evidence-based practices diff --git a/content/pt/blog/harmony-multilingual.md b/content/pt/blog/harmony-multilingual.md index 6913bb3..f295c3c 100644 --- a/content/pt/blog/harmony-multilingual.md +++ b/content/pt/blog/harmony-multilingual.md @@ -10,11 +10,11 @@ Estamos felizes em compartilhar algumas novidades interessantes com você. o Har I evaluated Harmony's ability to match the GAD-7 in 11 languages to the English version. I found that Harmony was able to achieve >95% AUC for 7 of the 11 non-English languages. -{{< image src="images/multilingual_aucs.png" alt="Multilingual AUCs" title="Multilingual AUCs" >}} +{{< image src="/images/multilingual_aucs.png" alt="Multilingual AUCs" title="Multilingual AUCs" >}} Você pode acompanhar meu trabalho [ no repositório `experiments` em nosso Github ](https://github.com/harmonydata/experiments/blob/main/README.md) . -{{< image src="images/multilingual_gad.png" alt="Multilingual GAD-7" title="Multilingual GAD-7" >}} +{{< image src="/images/multilingual_gad.png" alt="Multilingual GAD-7" title="Multilingual GAD-7" >}} ## Mais sobre o Harmony diff --git a/content/pt/blog/how-does-harmony-work.md b/content/pt/blog/how-does-harmony-work.md index 8a72fa6..493a56a 100644 --- a/content/pt/blog/how-does-harmony-work.md +++ b/content/pt/blog/how-does-harmony-work.md @@ -13,7 +13,7 @@ O Harmony usa técnicas da área de [ processamento de linguagem natural ](https ## Introdução ao processamento de linguagem natural: o saco de palavras -{{< image src="images/blog/GAD-7-vs-Becks.drawio-min-1.png" alt="GAD-7-vs-Becks" >}} +{{< image src="/images/blog/GAD-7-vs-Becks.drawio-min-1.png" alt="GAD-7-vs-Becks" >}} Há uma série de abordagens para quantificar a semelhança entre strings de texto. A abordagem mais simples é conhecida como abordagem Bag-of-Words. *Não* é assim que o Harmony funciona atualmente, mas é uma das primeiras coisas que tentamos! @@ -42,7 +42,7 @@ As desvantagens óbvias do método Jaccard são que - Não notará negação (*eu não estava feliz* e *eu estava muito feliz* ambos correspondem igualmente a *você estava feliz*). - Mais importante ainda, nossa missão para o projeto Harmony é que queremos harmonizar dados de diferentes idiomas, como português e inglês. Claramente, a abordagem do saco de palavras não funcionaria quando os textos estivessem em idiomas diferentes, a menos que você os traduzisse primeiro. -{{< image src="images/blog/Jaccard-checklist.drawio-min-768x634.png" alt="Jaccard checklist" >}} +{{< image src="/images/blog/Jaccard-checklist.drawio-min-768x634.png" alt="Jaccard checklist" >}} ## Espaços vetoriais @@ -50,19 +50,19 @@ A próxima abordagem que tentamos foi um modelo de espaço vetorial. Os modelos de espaço vetorial nos permitem representar palavras e conceitos como números ou pontos em um gráfico. Por exemplo, se *ansioso* pode ser (2, 3), *preocupado* é (3, 4) e *relaxar* é (8, 2). As coordenadas de cada conceito não têm sentido, mas se calcularmos a distância entre eles, veremos que *ansioso* e *preocupado* estão mais próximos um do outro do que *relaxar*. -{{< image src="images/blog/Word-vectors.drawio-min-1536x836.png" alt="Word vectors" >}} +{{< image src="/images/blog/Word-vectors.drawio-min-1536x836.png" alt="Word vectors" >}} É importante notar que os valores dos vetores são completamente arbitrários. Não há nenhum significado para onde um conceito é atribuído nos eixos *x* ou *y*, mas há significado nas distâncias. Agora temos uma maneira de lidar com sinônimos. Essa abordagem é chamada *embeddings de vetores de palavras* -{{< image src="images/blog/image.png" >}} +{{< image src="/images/blog/image.png" >}} Alguns valores vetoriais de palavras reais para termos que ocorrem em nossos dados. Normalmente, os vetores são grandes, potencialmente até 500 dimensões. A incorporação de vetores de palavras tornou-se popular em 2013, depois que o cientista da computação tcheco Tomáš Mikolov [ propôs uma maneira pela qual uma IA pode gerar vetores ](https://arxiv.org/abs/1310.4546) para cada palavra no idioma inglês simplesmente a partir de um conjunto enorme de documentos. -{{< image src="images/blog/newplot-28-min.png" alt="newplot" >}} +{{< image src="/images/blog/newplot-28-min.png" alt="newplot" >}} Para visualizar os vetores de palavras, podemos esmagá-los em duas ou três dimensões. Esta é uma visualização 2D dos termos na tabela acima. Usei um algoritmo chamado [ t-SNE ](https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding) para esmagá-los em uma superfície plana. @@ -72,7 +72,7 @@ Se você quiser usar incorporações de vetores de palavras para encontrar sinô Com os dados do Harmony , descobri que os modelos de espaço vetorial não identificaram corretamente a relação entre *criança intimida os outros* e *criança é intimidada pelos outros* – que são claramente questões muito diferentes e não devem ser harmonizadas juntas. -{{< image src="images/blog/Vector-checklist.drawio-min-768x633.png" alt="Vector checklist" >}} +{{< image src="/images/blog/Vector-checklist.drawio-min-768x633.png" alt="Vector checklist" >}} ## Modelos de transformadores @@ -86,7 +86,7 @@ Representações vetoriais do GAD-7 e do Inventário de Ansiedade de Beck Calcul Como um aparte, os transformadores também podem ser usados para tradução automática (na verdade, o Google Tradutor agora usa transformadores), e essa atenção permite que uma frase substantivo+adjetivo seja traduzida para outro idioma com o gênero correto. -{{< image src="images/blog/English-Portuguese-translations.drawio.png" alt="English Portuguese translations" >}} +{{< image src="/images/blog/English-Portuguese-translations.drawio.png" alt="English Portuguese translations" >}} A palavra *vermelho* pode ser traduzida de várias maneiras diferentes para o português, dependendo do gênero e do substantivo a ser modificado. Os modelos de transformadores são hábeis em levar essas pistas ao contexto e produzir a tradução correta de uma frase. @@ -96,7 +96,7 @@ GPT-2 converte o texto de cada pergunta em um vetor em 1600 dimensões. A distância entre quaisquer duas questões é medida de acordo com a métrica de similaridade de cosseno entre os dois vetores. Duas perguntas com significado semelhante, mesmo que redigidas de maneira diferente ou em idiomas diferentes, terão um alto grau de semelhança entre suas representações vetoriais. Questões muito diferentes tendem a estar distantes no espaço vetorial. -{{< image src="images/blog/Transformer-checklist.drawio-min-768x633.png" alt="Transformer checklist" >}} +{{< image src="/images/blog/Transformer-checklist.drawio-min-768x633.png" alt="Transformer checklist" >}} ## Convertendo para um gráfico de rede @@ -106,7 +106,7 @@ Em seguida, encontramos as correspondências mais próximas e as vinculamos em u Como essa abordagem é potencialmente propensa a erros, fornecemos a facilidade para um usuário editar o gráfico de rede e adicionar e remover arestas se discordar das decisões do Harmony . -{{< image src="images/blog/image-2.png" >}} +{{< image src="/images/blog/image-2.png" >}} O usuário tem a opção de adicionar ou remover arestas do gráfico. diff --git a/content/pt/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md b/content/pt/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md index 948bad4..fe9633e 100644 --- a/content/pt/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md +++ b/content/pt/blog/how-far-can-we-go-with-harmony-testing-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe.md @@ -23,7 +23,7 @@ Podemos usar o Harmony para harmonizar instrumentos de saúde mental projetados > Zvaita sei kuti chembere yorasika, bere rorutsa imvi? (How is it that the old woman is missing and the hyena is vomiting grey hairs?) -{{< image src="images/blog/pexels-bigworldinalens-11307036-1024x682.jpg" alt="img" >}} +{{< image src="/images/blog/pexels-bigworldinalens-11307036-1024x682.jpg" alt="img" >}} > Shona proverb (similar to English “there’s no smoke without fire”) @@ -47,7 +47,7 @@ Tentei usar o Harmony para ver como harmonizaria “kufungisisa” (pensar demai Embora o inglês seja o idioma com melhor recurso para processamento de linguagem natural, [ técnicas de PNL multilíngues ](https://fastdatascience.com/multilingual-natural-language-processing/) estão alcançando até mesmo para idiomas com menos recursos. Existem alguns modelos de PNL para Shona. Eu usei o modelo de transformador de sentença `Davlan/xlm-roberta-base-finetuned-shona` que é uma modificação do ROBERTA treinado em textos Shona [ 7 ]. I plugged one into o Harmony and tried to match the [Shona symptom questionnaire for the detection of depression and anxiety](https://depts.washington.edu/edgh/zw/hit/web/project-resources/shona_symptom_questionnaire.pdf) , que é usado no Zimbábue[6]. -{{< image src="images/blog/Screenshot-from-2023-07-13-12-34-30.png" alt="img" >}} +{{< image src="/images/blog/Screenshot-from-2023-07-13-12-34-30.png" alt="img" >}} Acima: o texto do questionário de sintomas Shona para detecção de depressão e ansiedade. @@ -58,7 +58,7 @@ Além disso, o modelo do transformador não operava como um transformador de sen A saída do meu modelo está abaixo: -{{< image src="images/blog/image-1-b.png" alt="img" >}} +{{< image src="/images/blog/image-1-b.png" alt="img" >}} O modelo do transformador Harmony e Shona combinou a pergunta sobre “kufungisisa” com a pergunta 1 do GHQ-12 “conseguiu se concentrar no que quer que esteja fazendo?” o que parece aproximadamente OK. No entanto, eu precisaria de um falante nativo de Shona para validar meus resultados. diff --git a/content/pt/blog/measuring-the-performance-of-nlp-algorithms.md b/content/pt/blog/measuring-the-performance-of-nlp-algorithms.md index 669ccd5..1ce3fe5 100644 --- a/content/pt/blog/measuring-the-performance-of-nlp-algorithms.md +++ b/content/pt/blog/measuring-the-performance-of-nlp-algorithms.md @@ -23,7 +23,7 @@ Eu usei uma ferramenta de harmonização existente desenvolvida por uma equipe d Esta ferramenta está disponível como um Excel e mostra uma variedade de instrumentos de diferentes lugares e épocas, e atribui as perguntas dentro deles a um conjunto definido de categorias. -{{< image src="images/blog/image-1536x502.png" alt="img" >}} +{{< image src="/images/blog/image-1536x502.png" alt="img" >}} Uma captura de tela da ferramenta de harmonização de McElroy et al (2020). Você pode baixar a ferramenta no formato Excel [ em nosso repositório Github ](https://github.com/harmonydata/harmony/tree/main/data) . @@ -81,10 +81,10 @@ Para cada projeto de modelo, gerei uma curva ROC, calculei a AUC e também impri O modelo de linha de base, o Tf\*Idf, deu uma AUC de 71% e 67% nos conjuntos de dados da infância e da idade adulta, respectivamente. No inglês x português, obteve uma AUC de 49%, mostrando que não conseguiu realizar nenhuma correspondência. Isso não é surpreendente, pois não há palavras em comum entre os GAD-7s inglês e português. -{{< image src="images/blog/Model-1-1536x1303.png" alt="model 1" >}} +{{< image src="/images/blog/Model-1-1536x1303.png" alt="model 1" >}} -{{< image src="images/blog/Model-2-1-1536x1254.png" alt="Model 2 1" >}} +{{< image src="/images/blog/Model-2-1-1536x1254.png" alt="Model 2 1" >}} Com uma pesquisa de dicionário codificada manualmente para combinar palavras em inglês e português, o mesmo modelo foi capaz de pontuar 100% no conjunto de dados multilíngue GAD-7. (Arquivo CSV de dicionário disponível [ aqui ](https://github.com/harmonydata/harmony/blob/main/front_end/models/pt_en_map.csv) ). @@ -97,14 +97,14 @@ A próxima etapa foi tentar uma abordagem de similaridade de vetores de palavras No geral, os menores modelos spaCy em inglês e português tiveram desempenho pior do que os modelos Tf\*Idf descritos acima. O desempenho do GAD-7 é essencialmente de 50% – o modelo não está realizando nenhuma classificação útil. -{{< image src="images/blog/Model-3-1536x1275.png" alt="Model 3" >}} +{{< image src="/images/blog/Model-3-1536x1275.png" alt="Model 3" >}} Isso é esperado, pois não esperaríamos que os vetores de palavras em inglês e português fossem equivalentes. Em seguida, experimentei o modelo spaCy grande, usando a versão em inglês para os dois idiomas. Isso teve um desempenho marginalmente melhor. -{{< image src="images/blog/Model-4-1536x1303.png" alt="Model 4" >}} +{{< image src="/images/blog/Model-4-1536x1303.png" alt="Model 4" >}} ### Passando para os transformadores @@ -113,19 +113,19 @@ O que há de mais moderno em processamento de linguagem natural são os modelos Usei o pacote de software HuggingFace com o [ modelo Sentence-BERT ](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v2) , que é uma implementação do BERT projetada para gerar incorporações de sentenças semanticamente significativas que podem ser comparadas usando similaridade de cosseno. -{{< image src="images/blog/Model-50Adistiluse-base-multilingual-cased-v2-1536x1355.png" alt="Model 50 Adistiluse base multilingual cased" >}} +{{< image src="/images/blog/Model-50Adistiluse-base-multilingual-cased-v2-1536x1355.png" alt="Model 50 Adistiluse base multilingual cased" >}} Testei o Sentence-BERT com vários parâmetros de métricas diferentes, alternando entre a similaridade de cosseno e produto de ponto e adicionando uma etapa de pré-processamento manual dependente do idioma para identificar quando duas frases podem ser semelhantes no sentido oposto. Também tentei vários modelos de vetores de documentos diferentes disponíveis no hub HuggingFace. Consegui atingir 84% AUC nos questionários da infância, 80% AUC nos questionários da idade adulta e novamente 100% no GAD-7. -{{< image src="images/blog/Model-8-1536x1042.png" alt="Model 8" >}} +{{< image src="/images/blog/Model-8-1536x1042.png" alt="Model 8" >}} O modelo MentalBERT não teve um desempenho tão bom quanto os outros modelos transformadores de sentenças, apesar de ser específico de domínio. É claro que não esperaríamos que o MentalBERT tivesse um bom desempenho nos dois últimos conjuntos de dados, pois é apenas em inglês e não é multilíngue. -{{< image src="images/blog/Model-10-1536x898.png" alt="Model 10" >}} +{{< image src="/images/blog/Model-10-1536x898.png" alt="Model 10" >}} ### Uma prévia dos pares de perguntas que foram classificados erroneamente pelo Harmony @@ -136,11 +136,11 @@ Se você olhar o código para as validações em [ Github ](https://github.com/h Por exemplo, o Modelo 7 marcou claramente pares de perguntas equivalentes em português/inglês com valores de similaridade mais altos -{{< image src="images/blog/image-22.png" alt="img" >}} +{{< image src="/images/blog/image-22.png" alt="img" >}} Os pares de perguntas marcados como mais semelhantes no conjunto de dados GAD-7 pelo Modelo 7 (transformador) -{{< image src="images/blog/image-23.png" alt="img" >}} +{{< image src="/images/blog/image-23.png" alt="img" >}} Os pares de perguntas marcados como menos semelhantes no conjunto de dados GAD-7 pelo Modelo 7 (transformador) @@ -148,7 +148,7 @@ Os pares de perguntas marcados como menos semelhantes no conjunto de dados GAD-7 Da mesma forma, aqui está uma impressão dos 10 principais falsos negativos do conjunto de dados Childhood (os pares de perguntas marcados como semelhantes na ferramenta McElroy et al, mas que foram perdidos pelo Harmony ): -{{< image src="images/blog/image-24.png" alt="img" >}} +{{< image src="/images/blog/image-24.png" alt="img" >}} Os 10 principais falsos negativos no conjunto de dados da Infância, classificados pelo Modelo 7 (transformador) @@ -158,7 +158,7 @@ Podemos ver que alguns deles são textos em que o significado é realmente muito Vamos dar uma olhada nos falsos positivos – estes são pares de perguntas que McElroy et al categorizaram como diferentes, mas o Harmony pensou que eles são semelhantes. -{{< image src="images/blog/image-25.png" alt="img" >}} +{{< image src="/images/blog/image-25.png" alt="img" >}} Os 10 principais falsos positivos no conjunto de dados da Infância, classificados pelo Modelo 7 (transformador) diff --git a/content/pt/blog/ppie-for-secondary-data-analysis.md b/content/pt/blog/ppie-for-secondary-data-analysis.md index f38a3d0..321e708 100644 --- a/content/pt/blog/ppie-for-secondary-data-analysis.md +++ b/content/pt/blog/ppie-for-secondary-data-analysis.md @@ -15,7 +15,7 @@ Tive um ano passado fantástico, repleto de muito aprendizado, novas descobertas Quando preparei a sessão do PPIE para meus colegas, tentei encontrar exemplos na literatura existente que pudessem demonstrar como as atividades do PPIE podem moldar e beneficiar a pesquisa usando dados secundários (sem referências para compartilhar, desculpe). A falta de resultados em minha pesquisa confirmou minha impressão de quão pouco o PPIE foi explorado em meu novo campo de pesquisa escolhido. Por isso, decidi compartilhar algumas ideias sobre como o PPIE pode moldar sua pesquisa se você estiver trabalhando principalmente com dados secundários. Observe que não sou *o* especialista em PPIE e ainda estou aprendendo sozinho. A ideia deste artigo é abrir o espaço e obter uma ampla coleção de atividades possíveis para que possamos aprender uns com os outros e aproveitar essa coleção que esperamos crescer. Tenho certeza de que muitas outras pessoas têm grandes coisas para adicionar a esta lista de ideias abaixo. Se o fizer, por favor, adicione-os na seção de comentários. -{{< image src="images/blog/jason-goodman-m2TU2gfqSeE-unsplash-ls-1-1536x1024.jpg" alt="Picture shows white wall with orange sticky notes. A person is in front of the wall and points at one of the notes" >}} +{{< image src="/images/blog/jason-goodman-m2TU2gfqSeE-unsplash-ls-1-1536x1024.jpg" alt="Picture shows white wall with orange sticky notes. A person is in front of the wall and points at one of the notes" >}} 1. **Desenvolvendo seu projeto, proposta e questão de pesquisa** @@ -24,7 +24,7 @@ Existem muitas ótimas oportunidades para envolver membros do público ou especi Vamos supor que você, como pesquisador, esteja interessado em descobrir quais fatores colocam os jovens em risco de desenvolver ansiedade e depressão. Seu conjunto de dados existente (espero grande) tem muitas variáveis diferentes que representam diferentes fatores de risco, como “bullying”, “privação”, “perda de um membro da família”, “conflito dos pais” ou “baixo desempenho acadêmico”. Meu primeiro passo seria traduzir esses tópicos ou itens em algo que um jovem possa entender melhor, por exemplo: “conflito parental” = “pais que brigam muito e discutem” ou “baixo rendimento acadêmico” = “um aluno que mantém reprovar nos exames ou continuar tirando notas ruins”. -{{< image src="images/blog/mourizal-zativa-gNMVpAPe3PE-unsplash-1536x1024.jpg" alt="Images displays Lego bricks of different colours and shapes and size." >}} +{{< image src="/images/blog/mourizal-zativa-gNMVpAPe3PE-unsplash-1536x1024.jpg" alt="Images displays Lego bricks of different colours and shapes and size." >}} Depois disso, você pode organizar um workshop com jovens, seus especialistas em experiência, onde você distribuirá suas variáveis amigáveis aos jovens, como pequenos blocos de construção. Você pode então perguntar aos jovens como cada um desses blocos de construção se relaciona com a forma como os jovens se sentem no dia-a-dia. Existe alguma coisa que os deixe tristes, com raiva, felizes? Esse tipo de discussão já deve fornecer alguns bons insights sobre se você, como pesquisador, entende esses blocos de construção (variáveis) e sua relação com a saúde mental de um jovem, da mesma forma que os jovens. Depois disso, você pode pedir a seus jovens especialistas que se juntem à sua equipe como pesquisadores e se tornem seus co-pesquisadores. Juntos, você pode usar esses blocos de construção para priorizar os fatores de risco (ou seja, definir prioridades de pesquisa para o seu projeto), que você pode usar para informar sua pergunta de pesquisa e análise subsequente ou, às vezes, até mesmo para criar novas perguntas de pesquisa nas quais você pode não ter pensado. Se você não tiver tempo suficiente e quiser ter certeza de que a questão final da pesquisa está de acordo com seus interesses gerais de pesquisa, você pode apresentar aos jovens especialistas diferentes rascunhos ou versões de sua pergunta de pesquisa e descobrir qual deles eles encontrariam mais interessante ou relevante e por quê. @@ -33,7 +33,7 @@ Depois disso, você pode organizar um workshop com jovens, seus especialistas em Envolver especialistas por experiência em sua análise e na interpretação de suas descobertas pode ser muito perspicaz. Depois de executar sua análise, tente escrever as principais descobertas de maneira acessível (sem coeficientes de regressão ou taxas de risco – sim, pode ser tentador). Você pode perguntar a seus jovens especialistas se eles acham que as descobertas parecem sensatas para eles ou se há necessidade de examinar algo mais que você ainda não considerou. Em alguns casos, você também pode achar seus resultados confusos, por exemplo, você pode estar se perguntando por que certos itens são carregados de forma cruzada em dois fatores, embora toda a literatura sugira que eles deveriam claramente carregar apenas em um. Seus especialistas em experiência podem fornecer informações que não podem ser encontradas na literatura, especialmente quando a população ou grupo que você está pesquisando é muito diferente de você. -{{< image src="images/blog/suzi-kim-AdPvazshqDU-unsplash-ls-1536x1191.jpg" alt="Image shows photo taken from above, of a pavement. The pavement has an image painted on it where a tall person and a small person walk together." >}} +{{< image src="/images/blog/suzi-kim-AdPvazshqDU-unsplash-ls-1536x1191.jpg" alt="Image shows photo taken from above, of a pavement. The pavement has an image painted on it where a tall person and a small person walk together." >}} 1. ** Redação e Divulgação** @@ -44,6 +44,6 @@ O PPIE pode ajudar a tornar sua pesquisa mais acessível e visível para aqueles 1 Isenção de responsabilidade: sou um pesquisador apaixonado pela regulação emocional. -{{< image src="images/blog/PPI-CLS-workshop-1536x1152.jpg" alt="PPI CLS workshop" >}} +{{< image src="/images/blog/PPI-CLS-workshop-1536x1152.jpg" alt="PPI CLS workshop" >}} Alguns dos meus adoráveis colegas do Centro de Estudos Longitudinais da UCL diff --git a/content/pt/fair-data.md b/content/pt/fair-data.md index 1318158..620ff5c 100644 --- a/content/pt/fair-data.md +++ b/content/pt/fair-data.md @@ -8,7 +8,7 @@ Os [ princípios FAIR ](https://www.go-fair.org/fair-principles/) são um conjun Os princípios FAIR foram publicados na *Nature* em 2016 para abordar as dificuldades na reprodução de pesquisas científicas. Organizações financiadoras, editoras e agências governamentais estão cada vez mais começando a exigir planos de gerenciamento de dados para dados gerados em pesquisas. Isso significa que, se você encontrar um artigo científico e quiser reproduzir o estudo, poderá reproduzir a pesquisa com o mínimo de atrito. -{{< image src="images/fair.png" alt="Fair" >}} +{{< image src="/images/fair.png" alt="Fair" >}} ## Como o Harmony está seguindo os princípios FAIR? diff --git a/content/pt/frequently-asked-questions.md b/content/pt/frequently-asked-questions.md index 1d5a964..8ddddf8 100644 --- a/content/pt/frequently-asked-questions.md +++ b/content/pt/frequently-asked-questions.md @@ -79,7 +79,7 @@ Se você se imaginar como um ser humano, tentando combinar os itens de um questi Podemos representar qualquer conceito como um vetor de comprimento 1, apontando para a superfície de uma esfera. Conceitos semelhantes têm vetores próximos. A pontuação do cosseno de dois vetores que estão próximos é próxima de 1. -{{< image src="images/sphere.svg" alt="sphere" >}} +{{< image src="/images/sphere.svg" alt="sphere" >}} ## Quem fez o Harmony ? @@ -93,5 +93,5 @@ Desenvolvemos o Harmony como uma iniciativa de código aberto e ciência aberta, Recentemente, fizemos um teste de usuário no Centro de Estudos Longitudinais da UCL com pesquisadores de psicologia de várias universidades. Após a sessão, um pesquisador de pós-doutorado disse: -{{< image src="images/quote.png" alt="quote" >}} +{{< image src="/images/quote.png" alt="quote" >}} diff --git a/content/pt/projects-partners.md b/content/pt/projects-partners.md index d5a9275..0d66bb8 100644 --- a/content/pt/projects-partners.md +++ b/content/pt/projects-partners.md @@ -2,7 +2,7 @@ title: Harmonizando dados de saúde mental --- -{{< image src="images/team.svg" alt="team" >}} +{{< image src="/images/team.svg" alt="team" >}} Temos o prazer de anunciar que estamos trabalhando em um novo projeto chamado Harmony for the Wellcome Trust Mental Health Data Prize – o Harmony usará processamento de linguagem natural para nos ajudar a comparar medidas e dados coletados com essas medidas em vários estudos. Na maioria das pesquisas sociais e psicológicas, diferentes questionários são usados, como o GAD-7 e o Beck's Anxiety Inventory, para avaliar a saúde mental das pessoas, esses questionários também estão disponíveis em diferentes idiomas e têm sido usados em vários países do mundo! A pesquisa em saúde mental costuma ser realizada em silos, queremos quebrar barreiras e ajudar pesquisadores de todo o mundo a se unirem, combinarem seus dados e enfrentarem juntos a crise da saúde mental. @@ -14,7 +14,7 @@ Temos o prazer de anunciar que estamos trabalhando em um novo projeto chamado Ha - **Dr Mauricio Scopel Hoffman (Universidade Federal de Santa Maria, Brasil)** - **Thomas Wood (Fast Data Science)** -{{< image src="images/blog/gad-7-scanned-min.jpg" alt="gad-7 scanned" >}} +{{< image src="/images/blog/gad-7-scanned-min.jpg" alt="gad-7 scanned" >}} Além disso, temos uma parceria com a [ Professora Louise Arsenault ](https://www.kcl.ac.uk/people/louise-arseneault) no [ Catálogo de Medidas de Saúde Mental ](https://www.cataloguementalhealth.ac.uk/) .