Interpreting Multiple Linear Regression: A Guidebook of Variable Importance

dc.citation.issueNumber9en_US
dc.citation.journalTitlePractical Assessment, Research & Evaluationen_US
dc.citation.volumeNumber17en_US
dc.contributor.authorNathans, Laura L.en_US
dc.contributor.authorOswald, Frederick L.en_US
dc.contributor.authorNimon, Kimen_US
dc.date.accessioned2013-05-02T17:53:13Zen_US
dc.date.available2013-05-02T17:53:13Zen_US
dc.date.issued2012-04en_US
dc.description.abstractMultiple regression (MR) analyses are commonly employed in social science fields. It is also common for interpretation of results to typically reflect overreliance on beta weights (cf. Courville & Thompson, 2001; Nimon, Roberts, & Gavrilova, 2010; Zientek, Capraro, & Capraro, 2008), often resulting in very limited interpretations of variable importance. It appears that few researchers employ other methods to obtain a fuller understanding of what and how independent variables contribute to a regression equation. Thus, this paper presents a guidebook of variable importance measures that inform MR results, linking measures to a theoretical framework that demonstrates the complementary roles they play when interpreting regression findings. We also provide a data-driven example of how to publish MR results that demonstrates how to present a more complete picture of the contributions variables make to a regression equation. We end with several recommendations for practice regarding how to integrate multiple variable importance measures into MR analyses.en_US
dc.embargo.termsnoneen_US
dc.identifier.citationNathans, Laura L., Oswald, Frederick L. and Nimon, Kim. "Interpreting Multiple Linear Regression: A Guidebook of Variable Importance." <i>Practical Assessment, Research & Evaluation,</i> 17, no. 9 (2012) Practical Assessment, Research & Evaluation: <a href="https://hdl.handle.net/1911/71096">https://hdl.handle.net/1911/71096</a>.en_US
dc.identifier.issn1531-7714en_US
dc.identifier.urihttps://hdl.handle.net/1911/71096en_US
dc.language.isoengen_US
dc.publisherPractical Assessment, Research & Evaluationen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.titleInterpreting Multiple Linear Regression: A Guidebook of Variable Importanceen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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