Added tags to markdown files

Standards/ActionResearch.md

@@ -1,4 +1,5 @@
 # Action Research 
+<standard name="Action Research">
 
 Empirical research that investigates how an intervention, like the
 introduction of a method or tool, affects a real-life context
@@ -28,6 +29,7 @@ standards.
 
 ## Specific Attributes
 ### Essential Attributes
+<checklist name="Essential">
 
 -	describes the context or site of the intervention(s)
 
@@ -52,20 +54,26 @@ standards.
 -   reports lessons learned by the organization
 
 -   researchers reflect on their own possible biases
-
+</checklist>
+
 ### Desirable Attributes
+<checklist name="Desirable">
+
 -	uses direct quotations extensively
 
 -   uses member checking to assess resonance
 
 -   findings plausibly transferable to other contexts
 
 -   triangulation across quantitative and qualitative data
-
+</checklist>
+
 ### Extraordinary Attributes
+<checklist name="Extraordinary">
 
 -	research team with triangulation across researchers (to mitigate researcher bias)
-
+</checklist>
+     
 ## General Quality Criteria 
 
 Example criteria include reflexivity, credibility, resonance, usefulness

Standards/CaseStudy.md

@@ -1,4 +1,5 @@
 # Case Study and Ethnography 
+<standard name="Case Study and Ethnography">
 
 "An empirical inquiry that investigates a contemporary phenomenon (the
 "case") in depth and within its real-world context, especially when the
@@ -35,6 +36,8 @@ captures a large quantitative dataset with limited context, consider the
 ## Specific Attributes 
 
 ### Essential Attributes
+<checklist name="Essential">
+
 -   explains why the case study approach is appropriate for the research question
 
 -   justifies the selection of the case or site that was studied
@@ -46,8 +49,11 @@ captures a large quantitative dataset with limited context, consider the
 -   presents a clear and well-argued "chain of evidence" from observations to findings
 
 -   clearly answers the research question(s)
-
+</checklist
+
 ### Desirable Attributes
+<checklist name="Desirable">
+
 -   reports the type of case study (see *Types of Case Studies*, below)
 
 -   describes external events and other factors that may have affected the case or site
@@ -57,16 +63,20 @@ captures a large quantitative dataset with limited context, consider the
 -   cross-checks interviewee statements (e.g. against direct observation or archival records)
 
 -   uses quotations to *illustrate* findings (note: quotations should not be *the only* representation of a finding; each finding should be described independently of supporting quotations)
-
+</checklist>
+
 ### Extraordinary Attributes
+<checklist name="Extraordinary">
+
 -   multiple, deep, fully-developed cases with cross-case triangulation
 
 -   uses multiple judges and reports inter-rater reliability (cf. Gwet & Gwet 2002)
 
 -   uses direct observation and clearly integrates direct observations into results
 
 -   created a case study protocol beforehand and makes it publicly accessible
-
+</checklist>
+
 ## General Quality Criteria 
 
 Case studies should be evaluated using qualitative validity criteria

Standards/EngineeringResearch.md

@@ -1,4 +1,5 @@
 # Engineering Methods 
+<standard name="Engineering Methods">
 
 ## Engineering Research (AKA Design Science) 
 
@@ -20,6 +21,8 @@ standard is not appropriate for:
 ## Specific Attributes
 
 ### Essential Attributes
+<checklist name="Essential">
+
 -   describes the proposed artifact in adequate detail^1^
 
 -   justifies the need for, usefulness of, or relevance of the proposed artifact^2^
@@ -38,8 +41,11 @@ standard is not appropriate for:
 -   assumptions (if any) are explicit; do not contradict each other or the contribution's goals; plausibly hold for the evaluation subjects
 
 -   uses notation consistently (if any notation is used)
-
+</checklist>
+
 ### Desirable Attributes
+<checklist name="Desirable">
+
 -   reviews the theoretical basis of the artifact
 
 -   provides correctness arguments of the key analytical and theoretical contributions (e.g. theorems, complexity analyses, mathematical proofs)
@@ -51,12 +57,15 @@ standard is not appropriate for:
 -   provides a replication package including datasets and analytical scripts and EITHER a comprehensive description of the artifact OR source code if artifact is virtual
 
 -   justifies any items missing from replication package based on practical or ethical grounds.
-
+</checklist>
+
 ### Extraordinary Attributes
+<checklist name="Extraordinary">
 -   contributes to our collective understanding of design practices or principles
 
 -   presents ground-breaking innovations with obvious real-world benefits
-
+</checklist>
+
 ## General Quality Criteria 
 
 -   Comprehensiveness of proposed artifact description

Standards/Experiments.md

@@ -1,4 +1,5 @@
 # Experiments (with Human Participants) 
+<standard name="Experiments (with Human Participants)">
 
 A study in which an intervention is deliberately introduced to observe
 its effects on some aspects of reality under controlled conditions
@@ -24,7 +25,9 @@ Science Standard** or the **Engineering Research Standard**.
 
 ## Specific Attributes 
 
-### Essential Attributes	
+### Essential Attributes
+<checklist name="Essential">
+
 -	describes how characteristics of phenomenon under investigation relate to experimental constructs
 -	states formal hypotheses 
 -	justifies use of one-sided hypotheses (if any) based on face validity or previous work
@@ -42,8 +45,11 @@ Science Standard** or the **Engineering Research Standard**.
 -	EITHER: shares raw, de-identified data OR: explains why sharing raw data is impractical or unethical
 -	discusses construct, conclusion internal and external validity
 -	discusses alternative interpretations of results
+</checklist>
+     
+### Desirable Attributes
+<checklist name="Desirable">
 
-### Desirable Attributes		
 -	justifies hypotheses and Bayesian priors (if applicable) based on previous studies and theory
 -	discusses alternative experimental designs and why they were not used (e.g. validity trade-offs)
 -	includes visualizations of data distributions
@@ -55,12 +61,15 @@ Science Standard** or the **Engineering Research Standard**.
 -	analyzes construct validity of dependent variable
 -	uses and reports manipulation checks
 -	pre-registration of hypotheses and design where venue allows
+</checklist>
+     
+### Extraordinary Attributes
+<checklist name="Extraordinary">
 
-### Extraordinary Attributes		
 -   reports multiple experiments or replications in different cultures or regions 
 -	uses multiple methods of data collection; data triangulation
 -	longitudinal data collection with appropriate time-series analysis
-
+<checklist>
 
 ## General Quality Criteria 
 

Standards/GeneralStandard.md

@@ -1,4 +1,5 @@
 # The General Standard 
+<standard name = "General Standard">
 
 ## Application 
 
@@ -44,6 +45,8 @@ following.
 ## Specific Attributes 
 
 ### Essential Attributes 
+<checklist name="Essential">
+
 -	states a purpose, problem, objective, or research question
 -	methodology is appropriate (not necessarily optimal) for stated purpose or questions
 -	describes in detail what, where, when and how data were collected
@@ -57,8 +60,11 @@ following.
 -	language is not misleading; any grammatical problems do not substantially hinder understanding
 -	visualizations/graphs are not misleading (see the Information Visualization Supplement)
 -	complies with all applicable empirical standards
+</checklist>
+     
+### Desirable Attributes
+<checklist name="Desirable">
 
-### Desirable Attributes 
 -	summarizes and synthesizes a reasonable selection of related work
 -	clearly describes relationship between contribution(s) and related work
 -	states epistemological stance (e.g. post-positivism, interpretivism, critical realism)
@@ -71,12 +77,15 @@ following.
 -	visualizations (e.g. graphs, diagrams, tables) advance the paper’s arguments or contribution
 -	clarifies the roles and responsibilities of the researchers (i.e. who did what?)
 -	provides an auto-reflection or assessment of the authors’ own work (e.g. lessons learned)
-
+</checklist>
+     
 ### Extraordinary Attributes 	
+<checklist name="Extraordinary">
+
 -	applies two or more data collection or analysis strategies to the same research question (see Multimethodology Supplement)
 -	approaches the same research question(s) from multiple epistemological perspectives
 -	innovates on research methodology while completing an empirical study
-
+</checklist>
 
 ## General Quality Criteria 
 

Standards/GroundedTheory.md

@@ -1,4 +1,5 @@
 # Grounded Theory
+<standard name="Grounded Theory">
 
 A study of a specific area of interest or phenomenon that involves
 iterative and interleaved rounds of qualitative data collection and
@@ -23,6 +24,7 @@ collection and analysis or do not use theoretical sampling, consider the
 **Case Study Standard** or the **Qualitative Survey Standard**.
 
 ## Specific Attributes 
+<checklist name="Essential">
 
 ### Essential Attributes 
 -	identifies the version of Grounded Theory used/adapted (Glaser, Strauss-Corbin, Charmaz, etc.)
@@ -31,8 +33,11 @@ collection and analysis or do not use theoretical sampling, consider the
 -	provides evidence of saturation; explains how saturation was achieved
 -	explains how key patterns (e.g. categories) emerged from GT steps (e.g. selective coding)
 -	provides clear chain of evidence from raw data (e.g. interviewee quotations) to derived codes, concepts, and categories
-
+</checklist>
+     
 ### Desirable Attributes 
+<checklist name="Desirable">
+
 -	explains how and why study adapts or deviates from claimed GT version
 -	presents a mature, fully-developed theory or taxonomy
 -	includes highly diverse participants and/or data sources (e.g. software repositories, forums)
@@ -45,11 +50,14 @@ collection and analysis or do not use theoretical sampling, consider the
 -	explains theoretical sampling vis-à-vis the interplay between the sampling process, the emerging findings, and theoretical gaps perceived therein
 -	reflects on how researcher’s biases may have affected their analysis 
 -	explains the role of literature, especially where an extensive review preceded the GT study
-
+</checklist>
+     
 ### Extraordinary Attributes 
+<checklist name="Extraordinary">
+
 -	triangulates with extensive quantitative data (e.g. questionnaires, sentiment analysis) 
 -	employs a team of researchers and explains their roles 
-
+</checklist>
 
 ## Quality Criteria 
 

Standards/QualitativeSurveys.md

@@ -1,5 +1,5 @@
 # Qualitative Surveys (Interview Studies) 
-
+<standard name="Qualitative Surveys (Interview Studies)">
 Research comprising semi-structured or open-ended interviews
 
 ## Application 
@@ -26,11 +26,16 @@ consider the **Discourse Analysis Standard**.
 ## Specific Attributes
 
 ### Essential Attributes	
+<checklist name="Essential">
+
 -	explains how interviewees were selected (i.e. sampling strategy; see The Sampling Supplement)
 -	describes interviewees (e.g. demographics, work roles)
 -	presents clear chain of evidence from interviewee quotations to proposed concepts
+</checklist>
+     
+### Desirable Attributes	
+<checklist name="Desirable">
 
-### Desirable Attributes		
 -	includes highly diverse participants 
 -	uses direct quotations extensively to support key points
 -	EITHER: evaluates an a priori theory (or model, framework, taxonomy, etc.) using deductive coding with an a priori coding scheme based on the prior theory OR: synthesizes results into a new, mature, fully-developed and clearly articulated theory (or model, etc.) using some form of inductive coding (coding scheme generated from data)
@@ -40,12 +45,15 @@ consider the **Discourse Analysis Standard**.
 -	discusses transferability; findings plausibly transferable to different contexts
 -	compares results with (or integrates them into) prior theory or related research
 -	reflects on how researchers’ biases may have affected their analysis
+</checklist>
+     
+### Extraordinary Attributes	
+<checklist name="Extraordinary">
 
-### Extraordinary Attributes		
 -	employs multiple methods of data analysis (e.g. open coding vs. process coding; manual coding vs. automated sentiment analysis) with method-triangulation
 -	employs longitudinal design (i.e. each interviewee participates multiple times) and analysis 
 -	employs probabilistic sampling strategy; statistical analysis of response bias
-
+</checklist>
 
 ## General Quality Criteria