首页    期刊浏览 2024年09月20日 星期五
登录注册

文章基本信息

  • 标题:Investigating Science Education Effect Sizes: Implications for Power Analyses and Programmatic Decisions
  • 本地全文:下载
  • 作者:Joseph A. Taylor ; Susan M. Kowalski ; Joshua R. Polanin
  • 期刊名称:AERA Open
  • 印刷版ISSN:2332-8584
  • 电子版ISSN:2332-8584
  • 出版年度:2018
  • 卷号:4
  • 期号:3
  • 页码:1-19
  • DOI:10.1177/2332858418791991
  • 摘要:A priori power analyses allow researchers to estimate the number of participants needed to detect the effects of an intervention. However, power analyses are only as valid as the parameter estimates used. One such parameter, the expected effect size, can vary greatly depending on several study characteristics, including the nature of the intervention, developer of the outcome measure, and age of the participants. Researchers should understand this variation when designing studies. Our meta-analysis examines the relationship between science education intervention effect sizes and a host of study characteristics, allowing primary researchers to access better estimates of effect sizes for a priori power analyses. The results of this meta-analysis also support programmatic decisions by setting realistic expectations about the typical magnitude of impacts for science education interventions.
  • 关键词:effect size; meta-analysis; program evaluation; science education; statistics; student achievement
国家哲学社会科学文献中心版权所有