Open AccessMeta-analysis with standardized effect sizes from multilevel and latent growth models.
Author(s) -
Alan Feingold
Publication year - 2017
Publication title -
journal of consulting and clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.582
H-Index - 240
eISSN - 1939-2117
pISSN - 0022-006X
DOI - 10.1037/ccp0000162
Subject(s) - meta analysis , intraclass correlation , psycinfo , statistics , multilevel model , statistic , psychology , standard error , structural equation modeling , sample size determination , econometrics , variance (accounting) , latent variable , extant taxon , psychometrics , mathematics , medline , chemistry , medicine , biochemistry , accounting , evolutionary biology , business , biology
Findings from multilevel and latent growth modeling analysis (GMA) need to be included in literature reviews, and this article explicates 4 rarely discussed approaches for using GMA studies in meta-analysis.