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A Protocol to Assess Contextual Factors During Program Impact Evaluation

A Case Study of a STEM Gender Equity Intervention in Higher Education

Datos Bibliográficos

ID12470420
AutoresSuzanne Nobrega (0000-0002-2354-0996, University of Massachusetts Lowell, Lowell, MA, USA, autor de correspondencia), Kasper Edwards (0000-0002-6328-1765, Technical University of Denmark, Lyngby, Denmark), Mazen El Ghaziri (0000-0003-1146-9982, University of Massachusetts Lowell, Lowell, MA, USA), Lauren Giacobbe (0000-0001-9183-0154, University of Massachusetts Lowell, Lowell, MA, USA), Serena Rice (0000-0003-4500-5430, University of Massachusetts Lowell, Lowell, MA, USA), Laura Punnett (0000-0001-9270-9946, University of Massachusetts Lowell, Lowell, MA, USA)
Año2023
Volumen45
Número4
Páginas592-609
Fecha de publicación2023-05-02
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaAmerican Journal of Evaluation (JOURNAL)
Identificadores de la revistaISSN: 1098-2140 • E-ISSN: 1557-0878
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/10982140231152281
PMID39664915
OpenAlexW4367845839
IdiomaEN
Referencias citadas28

Program evaluations that lack experimental design often fail to produce evidence of impact because there is no available control group. Theory-based evaluations can generate evidence of a program's causal effects if evaluators collect evidence along the theorized causal chain and identify possible competing causes. However, few methods are available for assessing competing causes in the program environment. Effect Modifier Assessment (EMA) is a method previously used in smaller-scale studies to assess possible competing causes of observed changes following an intervention. In our case study of a university gender equity intervention, EMA generated useful evidence of competing causes to augment program evaluation. Top-down administrative culture, poor experiences with hiring and promotion, and workload were identified as impeding forces that might have reduced program benefits. The EMA addresses a methodological gap in theory-based evaluation and might be useful in a variety of program settings

Actuarial science · Business · Causal chain · Equity (law · Impact evaluation · Intervention (counseling · Political science · Program Design Language · Program evaluation · Promotion (chess · Protocol (science · Scale (ratio · Variety (cybernetics · Workload · Applied Psychology · Computer Science · Educational Assessment and Improvement · Evaluation and Performance Assessment · Medicine · Psychology · Public Policy and Administration Research

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