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Understanding Individual Personality Structures Through Idiographic Factor Analysis and Network Models.

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Title: Understanding Individual Personality Structures Through Idiographic Factor Analysis and Network Models.
Authors: Shimotsukasa, Tadahiro (AUTHOR), Mieda, Takahiro (AUTHOR)
Source: Japanese Psychological Research. Jan2026, Vol. 68 Issue 1, p117-130. 14p.
Subjects: Personality, Five-factor model of personality, Psychological research, Factor analysis, Variability (Psychometrics), Personality assessment, Dynamic models, Longitudinal method
Abstract: Understanding individual personality requires methods that capture within‐person variability rather than relying solely on between‐person models, such as the Big Five. This study aimed to elucidate individual personality structures by conducting factor analyses on longitudinal Big Five indicators and applying graphical vector autoregression (GVAR) models to reveal the dynamic interactions among factors. Five female undergraduates completed a 30‐item questionnaire daily for approximately 90 days, allowing us to identify idiographic factors specific to each participant. Results revealed significant heterogeneity in factor structures and network dynamics, challenging the assumption of ergodicity in Big Five indicators. Moreover, while similar factors emerged across participants, their network relationships varied considerably, highlighting the need for individualized approaches to personality research. This study highlights the importance of integrating idiographic methods to achieve a nuanced understanding of individual personalities and encourages future research to further develop methodologies that better capture individuality. [ABSTRACT FROM AUTHOR]
Copyright of Japanese Psychological Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Understanding Individual Personality Structures Through Idiographic Factor Analysis and Network Models.
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  Data: <searchLink fieldCode="AR" term="%22Shimotsukasa%2C+Tadahiro%22">Shimotsukasa, Tadahiro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mieda%2C+Takahiro%22">Mieda, Takahiro</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Japanese+Psychological+Research%22">Japanese Psychological Research</searchLink>. Jan2026, Vol. 68 Issue 1, p117-130. 14p.
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  Data: Understanding individual personality requires methods that capture within‐person variability rather than relying solely on between‐person models, such as the Big Five. This study aimed to elucidate individual personality structures by conducting factor analyses on longitudinal Big Five indicators and applying graphical vector autoregression (GVAR) models to reveal the dynamic interactions among factors. Five female undergraduates completed a 30‐item questionnaire daily for approximately 90 days, allowing us to identify idiographic factors specific to each participant. Results revealed significant heterogeneity in factor structures and network dynamics, challenging the assumption of ergodicity in Big Five indicators. Moreover, while similar factors emerged across participants, their network relationships varied considerably, highlighting the need for individualized approaches to personality research. This study highlights the importance of integrating idiographic methods to achieve a nuanced understanding of individual personalities and encourages future research to further develop methodologies that better capture individuality. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Japanese Psychological Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1111/jpr.12604
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 117
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      – SubjectFull: Personality
        Type: general
      – SubjectFull: Five-factor model of personality
        Type: general
      – SubjectFull: Psychological research
        Type: general
      – SubjectFull: Factor analysis
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      – SubjectFull: Variability (Psychometrics)
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      – SubjectFull: Personality assessment
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      – SubjectFull: Dynamic models
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      – SubjectFull: Longitudinal method
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      – TitleFull: Understanding Individual Personality Structures Through Idiographic Factor Analysis and Network Models.
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              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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