Multilevel mediation modeling in group-based intervention studies.
The writers present and assess a method to test for mediation in multilevel data sets that is formed when an intervention administered to intact groups is aimed at producing change in individual mediator and outcome variables. They employ simulated data of this form to conduct a comparison of ordin...
| Published in: | Evaluation Review Vol. 23; no. 4; pp. 418 - 445 |
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| Main Authors: | , |
| Format: | Article |
| Published: |
Sage Publications Inc.
August 1999
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| 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=507647434&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507647434 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0193841X EVR jtl: Evaluation Review issn: 0193841X maglogo: N pubinfo: dt: August 1999 vid: 23 iid: 4 pid: 344 pub: Sage Publications Inc. artinfo: ui: 507647434 10.1177/0193841X9902300404 ppf: 418 ppct: 27 formats: tig: atl: Multilevel mediation modeling in group-based intervention studies. aug: au: Krull, Jennifer L. MacKinnon, David P. su: Evaluation research (Social action programs) Social statistics Substance abuse prevention Least squares sug: subj: Evaluation research (Social action programs) Social statistics Substance abuse prevention Least squares ab: The writers present and assess a method to test for mediation in multilevel data sets that is formed when an intervention administered to intact groups is aimed at producing change in individual mediator and outcome variables. They employ simulated data of this form to conduct a comparison of ordinary least squares (OLS) and two multilevel estimators of the mediated effect. They evaluate approximations of OLS and multilevel standard errors and make recommendations for optimal estimator choice, and they apply these methods to data from an existing substance use intervention. Their aim in doing so is to demonstrate the impact that multilevel mediation modeling can have on the conclusions drawn from real-world evaluation studies. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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