Predicting Persistence and Fadeout Across Multi-Site RCTs of an Early Childhood Mathematics Curriculum Intervention

This study examined predictors of persistence and fadeout across multiple cluster randomized controlled trials that evaluated a preschool mathematics curriculum. We used meta-analytic methods to explore how impacts on student mathematics achievement faded between post-test (i.e., endline) and 1-year follow-up. We found that the magnitude of the impact at post-test was a strong predictor of the 1-year follow-up impact. Contrary to popular theory, we found that intervention impacts faded faster when students attended sites that showed more learning in the year following the end of the intervention. Factors related to intervention fidelity and dosage did not strongly predict fadeout patterns after considering the magnitude of the post-test effect. Results suggest that educational program evaluators can use immediate impacts to forecast follow-up effects.

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Publication Details

Journal
Educational Evaluation and Policy Analysis
Published
2026-02-22
DOI
https://doi.org/10.3102/01623737251405258
Primary Topic
Behavioral and Psychological Studies
Type
article
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article

Predicting Persistence and Fadeout Across Multi-Site RCTs of an Early Childhood Mathematics Curriculum Intervention

Tyler W. Watts, Dale C. Farran, Caroline M. Botvin, Shira Mattera et al.
Educational Evaluation and Policy Analysis
Behavioral and Psychological Studies
article

Predicting Persistence and Fadeout Across Multi-Site RCTs of an Early Childhood Mathematics Curriculum Intervention

Tyler W. Watts, Dale C. Farran, Caroline M. Botvin, Shira Mattera, Mark W. Lipsey, Julie Sarama, D. Bailey, Emma R. Hart, Douglas H. Clements
article en

Abstract

This study examined predictors of persistence and fadeout across multiple cluster randomized controlled trials that evaluated a preschool mathematics curriculum. We used meta-analytic methods to explore how impacts on student mathematics achievement faded between post-test (i.e., endline) and 1-year follow-up. We found that the magnitude of the impact at post-test was a strong predictor of the 1-year follow-up impact. Contrary to popular theory, we found that intervention impacts faded faster when students attended sites that showed more learning in the year following the end of the intervention. Factors related to intervention fidelity and dosage did not strongly predict fadeout patterns after considering the magnitude of the post-test effect. Results suggest that educational program evaluators can use immediate impacts to forecast follow-up effects.

Educational Evaluation and Policy Analysis
Manpower Demonstration Research Corporation (US), University of Denver (US), Vanderbilt University (US), University of California, Irvine (US), Columbia University (US)
Quality Education
Openalex Percentile: Top 49%
Behavioral and Psychological Studies
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Predicting Persistence and Fadeout Across Multi-Site RCTs of an Early Childhood Mathematics Curriculum Intervention — Tyler W. Watts, Dale C. Farran, et al. · Educational Evaluation and Policy Analysis (2026) | TGRS Research Map | TGRS