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Empirical Benchmarks for Planning and Interpreting Causal Effects of Community College Interventions
Michael J. Weiss; Marie-Andrée Somers; Colin Hill – Grantee Submission, 2023
Randomized controlled trials (RCTs) are an increasingly common research design for evaluating the effectiveness of community college (CC) interventions. However, when planning an RCT evaluation of a CC intervention, there is limited empirical information about what sized effects an intervention might reasonably achieve, which can lead to under- or…
Descriptors: Community Colleges, Response to Intervention, Randomized Controlled Trials, College Enrollment
Empirical Benchmarks for Planning and Interpreting Causal Effects of Community College Interventions
Michael J. Weiss; Marie-Andrée Somers; Colin Hill – Journal of Postsecondary Student Success, 2023
Randomized controlled trials (RCTs) are an increasingly common research design for evaluating the effectiveness of community college (CC) interventions. However, when planning an RCT evaluation of a CC intervention, there is limited empirical information about what sized effects an intervention might reasonably achieve, which can lead to under- or…
Descriptors: Community Colleges, Response to Intervention, Randomized Controlled Trials, College Enrollment
Marie-Andrée Somers; Michael J. Weiss; Colin Hill – Grantee Submission, 2022
The last two decades have seen a dramatic increase in randomized controlled trials (RCTs) conducted in community colleges. Yet, there is limited empirical information on the design parameters necessary to plan the sample size for RCTs in this context. We provide empirical estimates of key design parameters, discussing lessons based on the pattern…
Descriptors: Randomized Controlled Trials, Research Design, Sample Size, Statistical Analysis