What 20 Years of MDRC RCTs Suggest About Predictive Relationships Between Intervention Features and Intervention Impacts for Community College Students
| Autor: | Michael J. Weiss, Howard S. Bloom, Kriti Singh |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Educational Evaluation and Policy Analysis. :016237372211394 |
| ISSN: | 1935-1062 0162-3737 |
| DOI: | 10.3102/01623737221139493 |
| Popis: | This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that impacts tend to be larger as the number of intervention components increases and with the degree to which interventions promote full-time enrollment in fall and spring and/or summer enrollment. Less consistent evidence suggests that impacts tend to be larger for interventions that increase advising, tutoring, and, to a lesser extent, financial support. These results provide food for thought about the design of future community college innovations to be tested by researchers or tried by practitioners. |
| Databáze: | OpenAIRE |
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