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Validation of an abbreviated Big Five Personality Inventory at large population scale: psychometric structure and associations with common psychiatric and neurological disorders

Validation of an abbreviated Big Five Personality Inventory at large population scale: psychometric structure and associations with common psychiatric and neurological disorders
Validation of an abbreviated Big Five Personality Inventory at large population scale: psychometric structure and associations with common psychiatric and neurological disorders
Background: the five-factor model of personality, as quantified using instruments such as the
Big Five Inventory, consists of broad personality domains including Extraversion,
Agreeableness, Conscientiousness, Neuroticism (emotional instability), and Openness. Such
instruments typically include >40 items. However, instruments with many items can be
unwieldly and a cause of measurement error in clinical and cohort studies where multiple scales are sequenced. Conversely, established 5- and 10-item versions of the Big Five Inventory have poor reliability. Here, we developed and validated an abbreviated 18-item Big Five Inventory that balances efficiency, reliability and sensitivity.

Method: we analysed three datasets (N=59,797, N=21,177, and N=87,983) from individuals
who participated in the online Great British Intelligence Test (GBIT) study, a collaborative
citizen science project with BBC2 Horizon. We applied factor analyses (FA), predictive
normative modelling, and one-sample t-tests to validate the 18-item version of the Big Five and to investigate its associations with psychiatric and neurological conditions.

Results: the 18-item version of the Big Five Inventory had higher validity and test-retest
reliability compared to the other previously shortened versions in the literature, with comparable demographic associations to the full Big Five Inventory. It exhibited strong (i.e. large effect size) associations with psychiatric conditions, and moderate (small-medium) associations with neurological conditions. Neuroticism (emotional instability) was substantially higher in all psychiatric conditions, whereas Conscientiousness, Openness and Extraversion showed differential associations across conditions.

Conclusion: the newly validated 18-item version of the Big Five provides a convenient means of
measuring personality traits that is suitable for deployment in a range of studies. It retains
psychometric structure, retest reliability and clinical-group sensitivity, as compared to the full
original scale.
Big Five, Personality, Psychopathology, Reliability, Validation, neurology
0010-440X
Kang, Weixi
3ea47074-b070-42b5-a74d-7538417f0d1f
Tiego, Jeggan
1172a044-daf1-4f04-af76-c3361d2da9c7
Hellyer, Peter J.
97977890-09fa-4cfc-b228-6b6f9b5eccb2
Trender, William
a46c0a3d-b870-42df-b488-f5ca08ab6129
Grant, Jon E.
07372bd5-8a0d-42b4-b41b-e376c652acf3
Chamberlain, Samuel R.
8a0e09e6-f51f-4039-9287-88debe8d8b6f
Hampshire, Adam
892aff92-db76-471b-9c14-13de45631f7a
Kang, Weixi
3ea47074-b070-42b5-a74d-7538417f0d1f
Tiego, Jeggan
1172a044-daf1-4f04-af76-c3361d2da9c7
Hellyer, Peter J.
97977890-09fa-4cfc-b228-6b6f9b5eccb2
Trender, William
a46c0a3d-b870-42df-b488-f5ca08ab6129
Grant, Jon E.
07372bd5-8a0d-42b4-b41b-e376c652acf3
Chamberlain, Samuel R.
8a0e09e6-f51f-4039-9287-88debe8d8b6f
Hampshire, Adam
892aff92-db76-471b-9c14-13de45631f7a

Kang, Weixi, Tiego, Jeggan, Hellyer, Peter J., Trender, William, Grant, Jon E., Chamberlain, Samuel R. and Hampshire, Adam (2024) Validation of an abbreviated Big Five Personality Inventory at large population scale: psychometric structure and associations with common psychiatric and neurological disorders. Comprehensive Psychiatry, 134, [152514]. (doi:10.1016/j.comppsych.2024.152514).

Record type: Article

Abstract

Background: the five-factor model of personality, as quantified using instruments such as the
Big Five Inventory, consists of broad personality domains including Extraversion,
Agreeableness, Conscientiousness, Neuroticism (emotional instability), and Openness. Such
instruments typically include >40 items. However, instruments with many items can be
unwieldly and a cause of measurement error in clinical and cohort studies where multiple scales are sequenced. Conversely, established 5- and 10-item versions of the Big Five Inventory have poor reliability. Here, we developed and validated an abbreviated 18-item Big Five Inventory that balances efficiency, reliability and sensitivity.

Method: we analysed three datasets (N=59,797, N=21,177, and N=87,983) from individuals
who participated in the online Great British Intelligence Test (GBIT) study, a collaborative
citizen science project with BBC2 Horizon. We applied factor analyses (FA), predictive
normative modelling, and one-sample t-tests to validate the 18-item version of the Big Five and to investigate its associations with psychiatric and neurological conditions.

Results: the 18-item version of the Big Five Inventory had higher validity and test-retest
reliability compared to the other previously shortened versions in the literature, with comparable demographic associations to the full Big Five Inventory. It exhibited strong (i.e. large effect size) associations with psychiatric conditions, and moderate (small-medium) associations with neurological conditions. Neuroticism (emotional instability) was substantially higher in all psychiatric conditions, whereas Conscientiousness, Openness and Extraversion showed differential associations across conditions.

Conclusion: the newly validated 18-item version of the Big Five provides a convenient means of
measuring personality traits that is suitable for deployment in a range of studies. It retains
psychometric structure, retest reliability and clinical-group sensitivity, as compared to the full
original scale.

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More information

e-pub ahead of print date: 29 June 2024
Published date: 9 July 2024
Keywords: Big Five, Personality, Psychopathology, Reliability, Validation, neurology

Identifiers

Local EPrints ID: 492323
URI: http://eprints.soton.ac.uk/id/eprint/492323
ISSN: 0010-440X
PURE UUID: 0c96c116-4a46-4c31-9c47-66d338711eaa
ORCID for Samuel R. Chamberlain: ORCID iD orcid.org/0000-0001-7014-8121

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Date deposited: 24 Jul 2024 16:34
Last modified: 30 Aug 2024 02:00

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Contributors

Author: Weixi Kang
Author: Jeggan Tiego
Author: Peter J. Hellyer
Author: William Trender
Author: Jon E. Grant
Author: Samuel R. Chamberlain ORCID iD
Author: Adam Hampshire

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