首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Effect Sizes, Power, and Biases in Intelligence Research: A Meta-Meta-Analysis
  • 本地全文:下载
  • 作者:Michèle B. Nuijten ; Marcel A. L. M. van Assen ; Hilde E. M. Augusteijn
  • 期刊名称:Journal of Intelligence
  • 电子版ISSN:2079-3200
  • 出版年度:2020
  • 卷号:8
  • 期号:4
  • 页码:36-59
  • DOI:10.3390/jintelligence8040036
  • 出版社:MDPI Publishing
  • 摘要:In this meta-study, we analyzed 2442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson’s correlation of 0.26, and the median sample size was 60. Furthermore, across primary studies, we found a median power of 11.9% to detect a small effect, 54.5% to detect a medium effect, and 93.9% to detect a large effect. We documented differences in average effect size and median estimated power between different types of intelligence studies (correlational studies, studies of group differences, experiments, toxicology, and behavior genetics). On average, across all meta-analyses (but not in every meta-analysis), we found evidence for small-study effects, potentially indicating publication bias and overestimated effects. We found no differences in small-study effects between different study types. We also found no convincing evidence for the decline effect, US effect, or citation bias across meta-analyses. We concluded that intelligence research does show signs of low power and publication bias, but that these problems seem less severe than in many other scientific fields.
  • 关键词:meta-meta-analysis; meta-science; bias; intelligence; power; effect size meta-meta-analysis ; meta-science ; bias ; intelligence ; power ; effect size
国家哲学社会科学文献中心版权所有