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pubmed-article:19363189pubmed:abstractTextR(2) effect-size measures are presented to assess variance accounted for in mediation models. The measures offer a means to evaluate both component paths and the overall mediated effect in mediation models. Statistical simulation results indicate acceptable bias across varying parameter and sample-size combinations. The measures are applied to a real-world example using data from a team-based health promotion program to improve the nutrition and exercise habits of firefighters. SAS and SPSS computer code are also provided for researchers to compute the measures in their own data.lld:pubmed
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pubmed-article:19363189pubmed:authorpubmed-author:TaborgaMarcia...lld:pubmed
pubmed-article:19363189pubmed:authorpubmed-author:TaylorAaron...lld:pubmed
pubmed-article:19363189pubmed:authorpubmed-author:MackinnonDavi...lld:pubmed
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pubmed-article:19363189pubmed:pagination486-98lld:pubmed
pubmed-article:19363189pubmed:dateRevised2011-4-21lld:pubmed
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pubmed-article:19363189pubmed:year2009lld:pubmed
pubmed-article:19363189pubmed:articleTitleR2 effect-size measures for mediation analysis.lld:pubmed
pubmed-article:19363189pubmed:affiliationUniversity of South Carolina, Columbia, South Carolina 29208, USA. afairchi@mailbox.sc.edulld:pubmed
pubmed-article:19363189pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:19363189pubmed:publicationTypeResearch Support, N.I.H., Extramurallld:pubmed