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dc.contributor.authorRönkkö, Mikko
dc.contributor.authorAalto, Eero
dc.contributor.authorTenhunen, Henni
dc.contributor.authorAguirre-Urreta, Miguel I.
dc.date.accessioned2021-03-22T07:59:17Z
dc.date.available2021-03-22T07:59:17Z
dc.date.issued2022
dc.identifier.citationRönkkö, M., Aalto, E., Tenhunen, H., & Aguirre-Urreta, M. I. (2022). Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects. <i>Organizational Research Methods</i>, <i>25</i>(1), 48-87. <a href="https://doi.org/10.1177/1094428121991907" target="_blank">https://doi.org/10.1177/1094428121991907</a>
dc.identifier.otherCONVID_51976462
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/74700
dc.description.abstractTransforming variables before analysis or applying a transformation as a part of a generalized linear model are common practices in organizational research. Several methodological articles addressing the topic, either directly or indirectly, have been published in the recent past. In this article, we point out a few misconceptions about transformations and propose a set of eight simple guidelines for addressing them. Our main argument is that transformations should not be chosen based on the nature or distribution of the individual variables but based on the functional form of the relationship between two or more variables that is expected from theory or discovered empirically. Building on a systematic review of six leading management journals, we point to several ways the specification and interpretation of nonlinear models can be improved.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherSAGE Publications
dc.relation.ispartofseriesOrganizational Research Methods
dc.rightsCC BY 4.0
dc.subject.othertransformations
dc.subject.othergeneralized linear model
dc.subject.otherPoisson regression
dc.subject.otherlogistic regression
dc.titleEight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202103222037
dc.contributor.laitosKauppakorkeakoulufi
dc.contributor.laitosSchool of Business and Economicsen
dc.contributor.oppiaineBasic or discovery scholarshipfi
dc.contributor.oppiaineStrategia ja yrittäjyysfi
dc.contributor.oppiaineBasic or discovery scholarshipen
dc.contributor.oppiaineStrategy and Entrepreneurshipen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_dcae04bc
dc.description.reviewstatuspeerReviewed
dc.format.pagerange48-87
dc.relation.issn1094-4281
dc.relation.numberinseries1
dc.relation.volume25
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2021
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber311309
dc.subject.ysoregressioanalyysi
dc.subject.ysotilastolliset mallit
dc.subject.ysoorganisaatiotutkimus
dc.subject.ysolineaariset mallit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2130
jyx.subject.urihttp://www.yso.fi/onto/yso/p26278
jyx.subject.urihttp://www.yso.fi/onto/yso/p7816
jyx.subject.urihttp://www.yso.fi/onto/yso/p25748
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1177/1094428121991907
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramPostdoctoral Researcher, AoFen
jyx.fundingprogramTutkijatohtori, SAfi
jyx.fundinginformationThis research was supported in part by a Grant from the Academy of Finland (Grant 311309).
dc.type.okmA2


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