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Related Experiment Video

Updated: Mar 26, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
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Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

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Agreement of Personality Profiles Across Observers.

R R McCrae

    Multivariate Behavioral Research
    |January 31, 2016
    PubMed
    Summary

    A new method, the Index of Profile Agreement (rpa), improves personality profile agreement assessment. It outperforms Cattell's rp in distinguishing accurate from inaccurate personality ratings in peer and spouse reports.

    Area of Science:

    • Psychological Measurement
    • Personality Psychology
    • Quantitative Psychology

    Background:

    • Assessing cross-observer agreement on personality profiles is crucial for validating personality assessments.
    • Existing methods may not adequately account for both rating differences and their extremity.

    Purpose of the Study:

    • To introduce and evaluate a new coefficient, rpa (Index of Profile Agreement), for measuring cross-observer agreement on personality profiles.
    • To compare the efficacy of rpa against Cattell's rp coefficient.

    Main Methods:

    • Development of the Index of Profile Agreement (rpa) considering rating differences and mean extremeness.
    • Application of rpa and Cattell's rp to personality data from the Revised NEO Personality Inventory (NEO-PI-R).
    • Analysis of matched and mismatched pairs from peer/self-reports (N=250) and spouse/self-reports (N=68).

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    Related Experiment Videos

    Last Updated: Mar 26, 2026

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    Main Results:

    • The proposed rpa coefficient demonstrated superiority over Cattell's rp.
    • rpa effectively identified matched versus mismatched pairs of personality ratings.
    • The study provides guidelines for interpreting and utilizing rpa for group and individual assessments.

    Conclusions:

    • The Index of Profile Agreement (rpa) offers a more robust measure of cross-observer agreement in personality profiles.
    • rpa enhances the accuracy of identifying agreement in self-report, peer, and spouse personality ratings.
    • The findings support the use of rpa for improved personality assessment validation.