Variability in Meta-Analytic Effect Sizes and Meta-Analysis Outcomes as a Function of Measurement Procedure: A Simulation Study.
Meta-analysis is an important tool for identifying best practices. Critical to metaanalysis is the presumption that effect sizes based upon different measurement procedures are directly comparable. Recent theoretical work has challenged this notion, showing that two validity-invariance conditions mu...
| Published in: | Best Practice in Mental Health Vol. 4; no. 2; pp. 80 - 99 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Published: |
Lyceum Books, Inc.
Summer 2008
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510838187&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510838187 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 1553555X 14GH jtl: Best Practice in Mental Health issn: 1553555X maglogo: N pubinfo: dt: Summer 2008 vid: 4 iid: 2 pid: 21168 pub: Lyceum Books, Inc. artinfo: ui: 510838187 ppf: 80 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Variability in Meta-Analytic Effect Sizes and Meta-Analysis Outcomes as a Function of Measurement Procedure: A Simulation Study. aug: au: Nugent, William R. Ely, Gretchen E. su: Psychological techniques Psychology -- Statistical methods Effect sizes (Statistics) Meta-analysis sug: subj: Psychological techniques Psychology -- Statistical methods Effect sizes (Statistics) Meta-analysis ab: Meta-analysis is an important tool for identifying best practices. Critical to metaanalysis is the presumption that effect sizes based upon different measurement procedures are directly comparable. Recent theoretical work has challenged this notion, showing that two validity-invariance conditions must hold in order for effect sizes based upon the different measures to be directly comparable. However, no research has been done investigating how much of a practical difference violations of these invariance conditions make in either effect-size variability or in the outcomes of a meta-analysis. This article reports the results of a simulation study of the practical effects that violations of one of these invariance conditions have on the differences in standardized mean difference effect sizes for a given between-population comparison, on the variability in correlation effect sizes for a given relationship in a given population, and on the results of a meta-analysis. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|