A2 Katsausartikkeli tieteellisessä aikausilehdessä
Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects (2022)

Rönkkö, M., Aalto, E., Tenhunen, H., & Aguirre-Urreta, M. I. (2022). Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects. Organizational Research Methods, 25(1), 48-87. https://doi.org/10.1177/1094428121991907

JYU-tekijät tai -toimittajat

Rönkkö, Mikko

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Rönkkö, Mikko; Aalto, Eero; Tenhunen, Henni; Aguirre-Urreta, Miguel I.

Lehti tai sarja: Organizational Research Methods

ISSN: 1094-4281

eISSN: 1552-7425

Julkaisuvuosi: 2022

Ilmestymispäivä: 11.03.2021

Volyymi: 25

Lehden numero: 1

Artikkelin sivunumerot: 48-87

Kustantaja: SAGE Publications

Julkaisumaa: Yhdysvallat (USA)

Julkaisun kieli: englanti

DOI: https://doi.org/10.1177/1094428121991907

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/74700

Tiivistelmä

Transforming 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.

YSO-asiasanat: organisaatiotutkimus; tilastolliset mallit; lineaariset mallit; regressioanalyysi

Vapaat asiasanat: transformations; generalized linear model; Poisson regression; logistic regression

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