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

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dc.abstract.enThe 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.
dc.affiliationInstytut Psychologii Wydział Psychologii w Katowicach
dc.affiliationWydział Psychologii w Katowicach
dc.affiliationInstytut Psychologii
dc.contributor.authorStąpor, Katarzyna
dc.contributor.authorKończak, Grzegorz
dc.contributor.authorGrabowski, Damian
dc.contributor.authorŻywiołek-Szeja, Marta
dc.contributor.authorChudzicka-Czupała, Agata
dc.date.accessioned2026-02-10T11:26:58Z
dc.date.available2026-02-10T11:26:58Z
dc.date.created2025-07-03
dc.date.issued2026
dc.description.abstract<jats:p>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.</jats:p>
dc.description.accesstimeafter_publication
dc.description.grantnumber13-MGN-21/22
dc.description.granttitleSelected determinants of stress severity of remote and traditional work
dc.description.issue1-2
dc.description.physical33-48
dc.description.sdgIndustryInnovationAndInfrastructure
dc.description.versionfinal_published
dc.description.volume50
dc.identifier.doi10.1177/01466216251360562
dc.identifier.eissn1552-3497
dc.identifier.issn0146-6216
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/2175
dc.identifier.weblinkhttps://journals.sagepub.com/doi/10.1177/01466216251360562
dc.languageen
dc.pbn.affiliationpsychologia
dc.rightsClosedAccess
dc.rights.explanationPublikacja za paywallem
dc.rights.questionNo_rights
dc.share.articleOTHER
dc.subject.enmultiple hypothesis testing
dc.subject.enlinear correlation
dc.subject.enwork stress
dc.subject.enjob satisfaction
dc.subject.enfive factors of personality
dc.swps.sciencecloudsend
dc.titleMCorrSeqPerm: Searching for the Maximum Statistically Significant System of Linear Correlations and its Application in Work Psychology
dc.title.journalApplied Psychological Measurement
dc.typeJournalArticle
dspace.entity.typeArticle