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来源类型 | Publication |
The Sequential Scale-Up of an Evidence-Based Intervention: A Case Study | |
Jaime Thomas; Thomas D. Cook; Alice Klein; Prentice Starkey; and Lydia DeFlorio | |
发表日期 | 2018-06-30 |
出版者 | Evaluation Review, vol. 42, no. 3 |
出版年 | 2018 |
语种 | 英语 |
概述 | In this article, the authors examine a scale-up of an early math intervention to the state level, using a cluster randomized controlled trial.", |
摘要 | Policy makers face dilemmas when choosing a policy, program, or practice to implement. Researchers in education, public health, and other fields have proposed a sequential approach to identifying interventions worthy of broader adoption, involving pilot, efficacy, effectiveness, and scale-up studies. In this article, we examine a scale-up of an early math intervention to the state level, using a cluster randomized controlled trial. The intervention, Pre-K Mathematics, has produced robust positive effects on children’s math ability in prior pilot, efficacy, and effectiveness studies. In the current study, we ask if it remains effective at a larger scale in a heterogeneous collection of pre-K programs that plausibly represent all low-income families with a child of pre-K age who live in California. We find that Pre-K Mathematics remains effective at the state level, with positive and statistically significant effects (effect size on the Early Childhood Longitudinal Study, Birth Cohort Mathematics Assessment = .30, p < .01). In addition, we develop a framework of the dimensions of scale-up to explain why effect sizes might decrease as scale increases. Using this framework, we compare the causal estimates from the present study to those from earlier, smaller studies. Consistent with our framework, we find that effect sizes have decreased over time. We conclude with a discussion of the implications of our study for how we think about the external validity of causal relationships. |
URL | https://www.mathematica.org/our-publications-and-findings/publications/the-sequential-scale-up-of-an-evidence-based-intervention-a-case-study |
来源智库 | Mathematica Policy Research (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/489293 |
推荐引用方式 GB/T 7714 | Jaime Thomas,Thomas D. Cook,Alice Klein,et al. The Sequential Scale-Up of an Evidence-Based Intervention: A Case Study. 2018. |
条目包含的文件 | 条目无相关文件。 |
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