Using Impact Evaluation Tools to Unpack the Black Box and Learn What Works
Researchers and policy makers are increasingly dissatisfied with the “average treatment effect.” Not only are they interested in learning about the overall causal effects of policy interventions, but they want to know what specifically it is about the intervention that is responsible for any observ...
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| Format: | Article |
| Language: | English |
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The Evaluation Center at Western Michigan University
2015-04-01
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| Series: | Journal of MultiDisciplinary Evaluation |
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| Online Access: | https://journals.sfu.ca/jmde/index.php/jmde_1/article/view/415 |
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| author | Laura R Peck |
| author_facet | Laura R Peck |
| author_sort | Laura R Peck |
| collection | DOAJ |
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Researchers and policy makers are increasingly dissatisfied with the “average treatment effect.” Not only are they interested in learning about the overall causal effects of policy interventions, but they want to know what specifically it is about the intervention that is responsible for any observed effects. This discusses Peck's (2003) approach to creating symmetrically-predicted subgroups for analyzing endogenous features of experimentally evaluated interventions and then it identifies several possible extensions that might help evaluators better understand complex interventions. It aims to enrich evaluation methodologists’ toolbox, to improve our ability to analyze “what works” in addressing important questions for policy and program practice.
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| format | Article |
| id | doaj-art-ec35336a5ceb4c39a879b546a5102931 |
| institution | OA Journals |
| issn | 1556-8180 |
| language | English |
| publishDate | 2015-04-01 |
| publisher | The Evaluation Center at Western Michigan University |
| record_format | Article |
| series | Journal of MultiDisciplinary Evaluation |
| spelling | doaj-art-ec35336a5ceb4c39a879b546a51029312025-08-20T01:51:10ZengThe Evaluation Center at Western Michigan UniversityJournal of MultiDisciplinary Evaluation1556-81802015-04-01112410.56645/jmde.v11i24.415Using Impact Evaluation Tools to Unpack the Black Box and Learn What WorksLaura R Peck0https://orcid.org/0000-0002-8516-9950Abt Associates Inc. Researchers and policy makers are increasingly dissatisfied with the “average treatment effect.” Not only are they interested in learning about the overall causal effects of policy interventions, but they want to know what specifically it is about the intervention that is responsible for any observed effects. This discusses Peck's (2003) approach to creating symmetrically-predicted subgroups for analyzing endogenous features of experimentally evaluated interventions and then it identifies several possible extensions that might help evaluators better understand complex interventions. It aims to enrich evaluation methodologists’ toolbox, to improve our ability to analyze “what works” in addressing important questions for policy and program practice. https://journals.sfu.ca/jmde/index.php/jmde_1/article/view/415experimental designmethodsblack box |
| spellingShingle | Laura R Peck Using Impact Evaluation Tools to Unpack the Black Box and Learn What Works Journal of MultiDisciplinary Evaluation experimental design methods black box |
| title | Using Impact Evaluation Tools to Unpack the Black Box and Learn What Works |
| title_full | Using Impact Evaluation Tools to Unpack the Black Box and Learn What Works |
| title_fullStr | Using Impact Evaluation Tools to Unpack the Black Box and Learn What Works |
| title_full_unstemmed | Using Impact Evaluation Tools to Unpack the Black Box and Learn What Works |
| title_short | Using Impact Evaluation Tools to Unpack the Black Box and Learn What Works |
| title_sort | using impact evaluation tools to unpack the black box and learn what works |
| topic | experimental design methods black box |
| url | https://journals.sfu.ca/jmde/index.php/jmde_1/article/view/415 |
| work_keys_str_mv | AT laurarpeck usingimpactevaluationtoolstounpacktheblackboxandlearnwhatworks |