Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Effective evaluation of projects on violence against women and girls

Bibliographic Data

ID4824111
AuthorsMichaela Raab (0000-0003-2616-6781, Russian State Agrarian Correspondence University, corresponding author), Wolfgang Stuppert
Year2018
Volume28
Issue4
Pages541-551
Publication date2018-05-19
Open AccessNo
TypeARTICLE
VenueDevelopment in Practice (JOURNAL)
Journal identifiersISSN: 0961-4524 • E-ISSN: 1364-9213
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09614524.2018.1446908
OpenAlexW2802329281
LanguageEN
Citations received2
References cited2

What makes evaluations useful for interventions on violence against women and girls (VAWG)? This article reports on a qualitative comparative analysis of 39 evaluations, and shows that it takes a combination of elements to produce good evaluation effects. It identifies eight configurations of conditions which have generated effective evaluations. Key elements were the evaluation context, the evaluators’ sensitivity to gender and to the participants’ rights and security, and consultation with persons considered to be the ultimate “beneficiaries” of the intervention. Both qualitative and quantitative approaches could lead to effective evaluation. The article concludes with recommendations for evaluation users

Geography · Psychiatry · Psychological intervention · Qualitative analysis · Qualitative research · Social science · Sociology · Applied Psychology · Evaluation and Performance Assessment · Gender Politics and Representation · Psychology · Qualitative Comparative Analysis Research

  • Assessing training on digital gender based violence in higher education taking into account gender and sexual orientation

    Open Access•Leon Freude, Jordi Bonet-Martí et al.•European Journal of Education•2024

  • Evaluation of Gender-Related Digital Violence Training in Catalonia

    Open Access•Catalina Guerrero-Sanchez, Jordi Bonet-Martí et al.•Social Sciences•2024

Citations per year1
Citation span2024 - 2024 (1)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae