Meta-analysis with standardized effect sizes from multilevel and latent growth models. | Zendy

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Meta-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) - intraclass correlation , meta analysis , psycinfo , statistics , multilevel model , statistic , psychology , structural equation modeling , standard error , sample size determination , latent variable , variance (accounting) , econometrics , psychometrics , mathematics , medline , chemistry , medicine , biochemistry , accounting , business

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.

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