The Inventory of Personality Organization-Reality Testing Subscale and Belief in Science Scale: Confirmatory factor and Rasch analysis of thinking style measures.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 30 03 2023
accepted: 23 08 2024
medline: 6 9 2024
pubmed: 6 9 2024
entrez: 6 9 2024
Statut: epublish

Résumé

The Inventory of Personality Organization-Reality Testing Subscale (IPO-RT) and Belief in Science Scale (BIS) represent indirect, proxy measures of intuitive-experiential and analytical-rational thinking. However, a limited appraisal of factorial structure exists, and assessment of person-item functioning has not occurred. This study assessed the IPO-RT and BIS using confirmatory factor analysis (CFA) and Rasch analysis with a sample of 1030 participants (465 males, 565 females). Correlation analysis revealed a negative, moderate relationship between the measures. CFA supported a bifactorial model of the IPO-RT with four bifactors (Auditory and Visual Hallucinations, Delusional Thinking, Social Deficits, and Confusion). A one-factor model best fitted the BIS. Satisfactory item/person reliability and unidimensionality was observed for both measures using Rasch analysis, and items generally exhibited gender invariance. However, IPO-RT items were challenging, whereas BIS items were relatively easy to endorse. Overall, results indicated that the IPO-RT and BIS are conceptually sound, indirect indices of intuitive-experiential and analytical-rational thinking. Acknowledging the breadth of these thinking styles, a useful future research focus includes evaluating the performance of IPO-RT and BIS alongside objective tests.

Identifiants

pubmed: 39240926
doi: 10.1371/journal.pone.0310055
pii: PONE-D-23-09482
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0310055

Informations de copyright

Copyright: © 2024 Denovan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Andrew Denovan (A)

School of Psychology, Liverpool John Moores University, Liverpool, United Kingdom.

Neil Dagnall (N)

Department of Psychology, Manchester Metropolitan University, Manchester, United Kingdom.

Ken Drinkwater (K)

Department of Psychology, Manchester Metropolitan University, Manchester, United Kingdom.

Álex Escolà-Gascón (Á)

Department of Quantitative Methods and Statistics, Comillas Pontifical University, Madrid, Spain.

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Classifications MeSH