Experimental Design and Statistical Power for Cluster Randomized Cost-Effectiveness Trials

被引：2

作者：

Li, Wei ^{[1
,6
]}

Dong, Nianbo ^{[2
]}

Maynarad, Rebecca ^{[3
]}

Spybrook, Jessaca ^{[4
]}

Kelcey, Ben ^{[5
]}

机构：

[1] Univ Florida, Coll Educ, Gainesville, FL USA

[2] Univ N Carolina, Sch Educ, Chapel Hill, NC USA

[3] Univ Penn, Grad Sch Educ, Philadelphia, PA USA

[4] Western Michigan Univ, Coll Educ & Human Dev, Kalamazoo, MI USA

[5] Univ Cincinnati, Coll Educ Criminal Justice & Human Serv, Cincinnati, OH USA

[6] Univ Florida, 2711R Norman Hall, Gainesville, FL 32611 USA

来源：

JOURNAL OF RESEARCH ON EDUCATIONAL EFFECTIVENESS | 2023年 / 16卷 / 04期

基金：

美国国家科学基金会;

关键词：

Cost-effectiveness analysis; statistical power; cluster randomized cost-effectiveness trials; multilevel models; INTRACLASS CORRELATIONS; ACHIEVEMENT EVIDENCE; INTERIM ASSESSMENTS; SAMPLE-SIZES; IMPACT; MATHEMATICS; EDUCATION; PROGRAM; VALUES; SCALE;

D O I：

10.1080/19345747.2022.2142177

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Cluster randomized trials (CRTs) are commonly used to evaluate educational interventions, particularly their effectiveness. Recently there has been greater emphasis on using these trials to explore cost-effectiveness. However, methods for establishing the power of cluster randomized cost-effectiveness trials (CRCETs) are limited. This study develops power computation formulas and statistical software to help researchers plan two- and three-level CRCETs. We illustrate the application of our formulas and software for the designs of CRCETs and discuss the influence of sample size, nesting effects, covariates, and the covariance between cost and effectiveness measures on the statistical power of cost-effectiveness estimates.

引用

页码：681 / 706

页数：26

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