MCorrSeqPerm: Searching for the Maximum Statistically Significant System of Linear Correlations and its Application in Work Psychology

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Authors
Stąpor, Katarzyna
Kończak, Grzegorz
Grabowski, Damian
Żywiołek-Szeja, Marta
Chudzicka-Czupała, Agata
Monograph
Monograph (alternative title)
Date
2026
Publisher
Journal title
Applied Psychological Measurement
Issue
1-2
Volume
50
Pages
Pages
33-48
DOI
ISSN
0146-6216
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https://journals.sagepub.com/doi/10.1177/01466216251360562
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Abstract PL
Abstract EN
The paper addresses the problem of detecting a statistically significant subset of input considered relationships. The Pearson linear correlation coefficient calculated from a sample was used to determine the strength of a relationship. Simultaneous testing of the significance of many relationships is related to the issue of multiple hypothesis testing. In such a scenario, the probability of making a type I error without proper error control is, in practice, much higher than the assumed level of significance. The paper proposes an alternative approach: a new stepwise procedure (MCorrSeqPerm) allowing for finding the maximum statistically significant system of linear correlations keeping the error at the assumed level. The proposed procedure relies on a sequence of permutation tests. Its application in the analysis of relationships in the problem of examining stress experienced at work and job satisfaction was compared with Holm’s classic method in detecting the number of significant correlations.
Abstract other
Keywords PL
Keywords EN
multiple hypothesis testing
linear correlation
work stress
job satisfaction
five factors of personality
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Sustainable Development Goals
SDG 9. Industry, innovation and infrastructure
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https://share.swps.edu.pl/handle/swps/2175
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Selected determinants of stress severity of remote and traditional work
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