Understanding Meta-Analysis Through Data Simulation With Applications to Power Analysis

被引:4
作者
Gambarota, Filippo [1 ]
Altoe, Gianmarco [1 ]
机构
[1] Univ Padua, Dept Dev & Social Psychol, Padua, Italy
关键词
meta-analysis; Monte Carlo simulations; power analysis; EFFECTS META-REGRESSION; CONFIDENCE-INTERVALS; HETEROGENEITY; TESTS;
D O I
10.1177/25152459231209330
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Meta-analysis is a powerful tool to combine evidence from existing literature. Despite several introductory and advanced materials about organizing, conducting, and reporting a meta-analysis, to our knowledge, there are no introductive materials about simulating the most common meta-analysis models. Data simulation is essential for developing and validating new statistical models and procedures. Furthermore, data simulation is a powerful educational tool for understanding a statistical method. In this tutorial, we show how to simulate equal-effects, random-effects, and metaregression models and illustrate how to estimate statistical power. Simulations for multilevel and multivariate models are available in the Supplemental Material available online. All materials associated with this article can be accessed on OSF (https://osf.io/54djn/).
引用
收藏
页数:18
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