메타분석 결과에서 통계적 오류의 영향: 헤지스·올킨 방법과 헌터·슈미트 방법의 비교 분석

The Effects of Statistical Artifacts on Outcomes in Meta-Analysis: The Comparative Analysis of Hedges-Olkin and Hunter-Schmidt Meta-Analytic Approaches

초록

This study attempted to review and compare two major meta-analytic approaches, the Hedges and Olkin approach and the Hunter and Schmidt approach, in the aspects of meta-analytic methodology. The basic methodological assumptions and characteristics between the two approaches were also discussed in terms of the analytic techniques, methodological procedures, and interpretations of the results. In addition, the two meta-analyses of the theory of planned behavior, one of the major social cognitive theories, were conducted. Based on the results, Fisher’s z-transformation, effect size estimation, heterogeneity assessment, correction for sampling error and measurement error, and confidence interval and creditability interval were discussed.

키워드

meta-analysisstatistical artifactsHedges-Olkin meta-analysisHunter- Schmidt meta-analysisTheory of Planned Behavior메타분석통계적 오류표집오차 보정측정오차 보정계획된 행동이론
제목
메타분석 결과에서 통계적 오류의 영향: 헤지스·올킨 방법과 헌터·슈미트 방법의 비교 분석
제목 (타언어)
The Effects of Statistical Artifacts on Outcomes in Meta-Analysis: The Comparative Analysis of Hedges-Olkin and Hunter-Schmidt Meta-Analytic Approaches
저자
이병관손영곤
DOI
10.24172/hcr.2016..15.47
발행일
2016-12
저널명
헬스커뮤니케이션연구
15
페이지
47 ~ 97