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Public identifier: 
9788799821013
Type of resource: 
Media Type: 
Digital Document (pdf, doc, ppt, txt, etc.)
Language(s): 
English
Date created: 
2016
Is this resource freely shareable?: 
Shareable
Total energy: 
100

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About (English version): 
Public identifier: 
9788799821006
Type of resource: 
Media Type: 
Digital Document (pdf, doc, ppt, txt, etc.)
Language(s): 
English
Date created: 
2015
Is this resource freely shareable?: 
Shareable
Gender and Science taxonomy: 
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Total energy: 
103

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These  guidelines  aim  to  supply  higher  education  and  research  institutions  with  tools and  guidance  for  the  assessment of  their  Transformational  Gender  Action  Plans.  They  suggest using  evaluation  methodology  for  quality  assurance  of  gender  action  plans,  to  support  legitimacy  and  in-house  dialogue,  and  to  measure  institutional performance of the implementation of plans to foster gender equality.

Type of resource: 
Media Type: 
Digital Document (pdf, doc, ppt, txt, etc.)
Language(s): 
English
Is this resource freely shareable?: 
Shareable
Scientific discipline: 
Country coverage: 
Intended user group: 
Intended target sector: 
Total energy: 
182

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About (English version): 

The complexity of many cases, such as public projects and programs, requires evaluation methods that acknowledge this complexity in order to facilitate learning. On the one hand, the complexity of the cases derives from their uniqueness and nested nature. On the other hand, there is a need to compare cases in such a way that lessons can be transferred to other (future) cases in a coherent and non-anecdotal way. One method that is making headway as a complexity-sensitive, comparative method is Qualitative Comparative Analysis (QCA). This contribution aims to explain to what extent QCA is complexity-informed, to show how it can be deployed as such, and to identify its strengths and weaknesses as an evaluation method. We will discuss the properties of complexity, provide an overview of evaluation literature about QCA, and present a simplified step-wise guide for utilizing QCA in evaluation studies.

Public identifier: 
ISSN 1619-5515
Type of resource: 
Media Type: 
Digital Document (pdf, doc, ppt, txt, etc.)
Language(s): 
English
Date created: 
2016
Scientific discipline: 
Total energy: 
174

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