Factor structure of intelligence and divergent thinking subtests: A registered report
Psychologists have investigated creativity for 70 years, and it is now seen as being an important construct, both scientifically and because of its practical value to society. However, several fundamental unresolved problems persist, including a suitable definition of creativity and the ability of p...
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| Veröffentlicht in: | PloS one 2022-09, Vol.17 (9), p.e0274921-e0274921 |
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| creator | Warne, Russell T Golightly, Sam Black, Makai |
| description | Psychologists have investigated creativity for 70 years, and it is now seen as being an important construct, both scientifically and because of its practical value to society. However, several fundamental unresolved problems persist, including a suitable definition of creativity and the ability of psychometric tests to measure divergent thinking-an important component of creativity-in a way that aligns with theory. It is this latter point that this registered report is designed to address. We administered two divergent thinking tests (the verbal and figural versions of the Torrance Tests of Creative Thinking; TTCT) with an intelligence test (the International Cognitive Ability Resource test; ICAR). We then subjected the subscores from these tests to confirmatory factor analysis to examine which of nine theoretically plausible models best fits the data. Results show that none of the pre-registered models fit the data well, an ambiguous result that leaves unanswered the question of whether intelligence and divergent thinking tests measure the same construct. Exploratory (i.e., not pre-registered) measurement models of each test separately shows that the TTCT-F may not measure a coherent, unitary construct-leading to model misspecification when TTCT-F subtests were included in larger models. This study was conducted in accordance with all open science practices, including pre-registration, open data and syntax, and open materials (with the exception of copyrighted and confidential test stimuli). Materials are available at |
| doi_str_mv | 10.1371/journal.pone.0274921 |
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However, several fundamental unresolved problems persist, including a suitable definition of creativity and the ability of psychometric tests to measure divergent thinking-an important component of creativity-in a way that aligns with theory. It is this latter point that this registered report is designed to address. We administered two divergent thinking tests (the verbal and figural versions of the Torrance Tests of Creative Thinking; TTCT) with an intelligence test (the International Cognitive Ability Resource test; ICAR). We then subjected the subscores from these tests to confirmatory factor analysis to examine which of nine theoretically plausible models best fits the data. Results show that none of the pre-registered models fit the data well, an ambiguous result that leaves unanswered the question of whether intelligence and divergent thinking tests measure the same construct. Exploratory (i.e., not pre-registered) measurement models of each test separately shows that the TTCT-F may not measure a coherent, unitary construct-leading to model misspecification when TTCT-F subtests were included in larger models. This study was conducted in accordance with all open science practices, including pre-registration, open data and syntax, and open materials (with the exception of copyrighted and confidential test stimuli). Materials are available at</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0274921</identifier><identifier>PMID: 36121868</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Biology and Life Sciences ; Cognitive ability ; Creative ability ; Creativity ; Engineering and Technology ; Evaluation ; Factor analysis ; Influence ; Intellect ; Intelligence ; Intelligence levels ; Intelligence tests ; Methods ; Modelling ; Motivation ; Open data ; People and Places ; Personality ; Physical Sciences ; Psychologists ; Psychometrics ; Research and Analysis Methods ; Social Sciences</subject><ispartof>PloS one, 2022-09, Vol.17 (9), p.e0274921-e0274921</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Warne et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Exploratory (i.e., not pre-registered) measurement models of each test separately shows that the TTCT-F may not measure a coherent, unitary construct-leading to model misspecification when TTCT-F subtests were included in larger models. This study was conducted in accordance with all open science practices, including pre-registration, open data and syntax, and open materials (with the exception of copyrighted and confidential test stimuli). 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| subjects | Biology and Life Sciences Cognitive ability Creative ability Creativity Engineering and Technology Evaluation Factor analysis Influence Intellect Intelligence Intelligence levels Intelligence tests Methods Modelling Motivation Open data People and Places Personality Physical Sciences Psychologists Psychometrics Research and Analysis Methods Social Sciences |
| title | Factor structure of intelligence and divergent thinking subtests: A registered report |
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