-
Notifications
You must be signed in to change notification settings - Fork 1
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
4 changed files
with
45 additions
and
2 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,39 @@ | ||
--- | ||
title: " Matilda Centre at the University of Sydney using Harmony" | ||
--- | ||
|
||
|
||
{{< htmlcode >}} | ||
<img src="/images/matilda.webp" /> | ||
{{</ htmlcode >}} | ||
|
||
|
||
## Case Study: Harmonising Psychological Distress Measures with Harmony | ||
|
||
Dr. Deanna Varley and Associate Professor Matthew Sunderland, both based at the [Matilda Centre at the University of Sydney](https://www.sydney.edu.au/matilda-centre/), have been using Harmony on a data harmonisation project with large population-based Australian surveys that have measured psychological distress with different scales and sometimes with different versions of the same scale. | ||
|
||
Their goal was to identify pre-existing data in Australia that has measured psychological distress and to combine and harmonise multiple large-scale Australian population surveys, each employing various psychological distress measures, into a unified dataset. | ||
|
||
## The challenge | ||
|
||
The primary challenge was the heterogeneity of the psychological distress measures used across the different surveys. While many surveys employed the [Kessler Psychological Distress Scale](https://www.tac.vic.gov.au/files-to-move/media/upload/k10_english.pdf) (K10), others used variations of the K10 or entirely different scales such as the [mental health component of the SF-36](/harmonisation-validation/sf-36-health-survey/). | ||
|
||
Examples of the kinds of items Dr Varley was matching include | ||
|
||
> During the past four weeks, have you accomplished less than you would like as a result of any emotional problems, such as feeling depressed or anxious? | ||
and | ||
|
||
> During the past four weeks, how much of the time have you had any of the following problems as a result of any emotional problems (such as feeling depressed or anxious)? Accomplished less than you would like. | ||
## Data Collection and Preparation | ||
|
||
Dr. Varley compiled a list of 282 surveys, each containing various psychological distress measures, from various sources including the [Australian Data Archive](/ada/). | ||
|
||
She manually extracted the exact wording of each item from the survey instruments, and then used [Harmony’s R library](/open-source-for-social-science/harmony-r-package/) to match the items by pairs and identify which surveys contained matching or partially matching instruments. | ||
|
||
Dr Varley also provided feedback on how to improve the tool and example R scripts which we have included in the [R examples repository](/open-source-for-social-science/example-repository/). | ||
|
||
Dr Varley wrote to us on [the Harmony Discord server](/community/), | ||
|
||
> Thanks so much for developing this great tool! It's been so useful for our research and has made our work significantly faster and easier. |
Binary file not shown.