6
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Meta-Analytic Investigations of the HEXACO Personality Inventory(-Revised) : Reliability Generalization, Self–Observer Agreement, Intercorrelations, and Relations to Demographic Variables

      research-article

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Abstract. The six dimensions of the HEXACO model of personality are most commonly measured via the HEXACO Personality Inventory(-Revised) (HEXACO-PI(-R)), which comes in three versions (60, 100, and 200 items) and is available as a self- and observer report form in several languages. The present study meta-analytically investigates the psychometric properties of the HEXACO-PI(-R), relying on empirical data from 549 independent samples providing information about 316,133 individuals. In particular, we performed reliability generalization meta‐analyses to examine internal consistency, determined self–observer agreement, investigated structural properties in terms of the intercorrelations between the HEXACO dimensions, and established relations between the dimensions and demographic variables. Results show that all HEXACO-PI(-R) versions exhibit fairly high reliabilities and a high degree of self–observer agreement. With the exception of a moderate correlation between Honesty-Humility and Agreeableness, the HEXACO dimensions are only weakly correlated overall. Finally, notable gender differences (with women scoring higher) occurred on Emotionality and Honesty-Humility.

          Related collections

          Most cited references21

          • Record: found
          • Abstract: found
          • Article: not found

          Empirical, theoretical, and practical advantages of the HEXACO model of personality structure.

          The authors argue that a new six-dimensional framework for personality structure--the HEXACO model--constitutes a viable alternative to the well-known Big Five or five-factor model. The new model is consistent with the cross-culturally replicated finding of a common six-dimensional structure containing the factors Honesty-Humility (H), Emotionality (E), eExtraversion (X), Agreeableness (A), Conscientiousness (C), and Openness to Experience (O). Also, the HEXACO model predicts several personality phenomena that are not explained within the B5/FFM, including the relations of personality factors with theoretical biologists' constructs of reciprocal and kin altruism and the patterns of sex differences in personality traits. In addition, the HEXACO model accommodates several personality variables that are poorly assimilated within the B5/FFM.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The HEXACO-60: A Short Measure of the Major Dimensions of Personality

            We describe the HEXACO-60, a short personality inventory that assesses the 6 dimensions of the HEXACO model of personality structure. We selected the 10 items of each of the 6 scales from the longer HEXACO Personality Inventory-Revised (Ashton & Lee, 2008; Lee & Ashton, 2004, 2006), with the aim of representing the broad range of content that defines each dimension. In self-report data from samples of college students and community adults, the scales showed reasonably high levels of internal consistency reliability and rather low interscale correlations. Correlations of the HEXACO-60 scales with measures of the Big Five factors were consistent with theoretical expectations, and convergent correlations between self-reports and observer reports on the HEXACO-60 scales were high, averaging above .50. We recommend the HEXACO-60 for use in personality assessment contexts in which administration time is limited.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              An other perspective on personality: meta-analytic integration of observers' accuracy and predictive validity.

              The bulk of personality research has been built from self-report measures of personality. However, collecting personality ratings from other-raters, such as family, friends, and even strangers, is a dramatically underutilized method that allows better explanation and prediction of personality's role in many domains of psychology. Drawing hypotheses from D. C. Funder's (1995) realistic accuracy model about trait and information moderators of accuracy, we offer 3 meta-analyses to help researchers and applied psychologists understand and interpret both consistencies and unique insights afforded by other-ratings of personality. These meta-analyses integrate findings based on 44,178 target individuals rated across 263 independent samples. Each meta-analysis assessed the accuracy of observer ratings, as indexed by interrater consensus/reliability (Study 1), self-other correlations (Study 2), and predictions of behavior (Study 3). The results show that although increased frequency of interacting with targets does improve accuracy in rating personality, informants' interpersonal intimacy with the target is necessary for substantial increases in other-rating accuracy. Interpersonal intimacy improved accuracy especially for traits low in visibility (e.g., Emotional Stability) but only minimally for traits high in evaluativeness (e.g., Agreeableness). In addition, observer ratings were strong predictors of behaviors. When the criterion was academic achievement or job performance, other-ratings yielded predictive validities substantially greater than and incremental to self-ratings. These findings indicate that extraordinary value can gained by using other-reports to measure personality, and these findings provide guidelines toward enriching personality theory. Various subfields of psychology in which personality variables are systematically assessed and utilized in research and practice can benefit tremendously from use of others' ratings to measure personality variables.
                Bookmark

                Author and article information

                Contributors
                Journal
                zfp
                Zeitschrift für Psychologie
                Hogrefe Publishing
                2190-8370
                2151-2604
                August 2, 2019
                2019
                : 227
                : 3 , Topical Issue: Advances in HEXACO Personality Research
                : 186-194
                Affiliations
                [ 1 ]Research Methods, Institute of Psychology and Education, Ulm University, Germany
                [ 2 ]Cognitive Psychology Lab, Department of Psychology, University of Koblenz-Landau, Germany
                [ 3 ]Department of Psychology, University of Copenhagen, Denmark
                Author notes
                Morten Moshagen, Research Methods, Institute of Psychology and Education, Ulm University, Albert-Einstein-Allee 4, 89081 Ulm, Germany, E-mail morten.moshagen@ 123456uni-ulm.de
                Article
                zfp_227_3_186
                10.1027/2151-2604/a000377
                b771efc2-e432-4bb9-a57c-e493b600f321
                Copyright @ 2019
                History
                : November 9, 2018
                : January 26, 2019
                : January 26, 2019
                Funding
                Funding: Benjamin E. Hilbig was supported by the research training group Statistical Modeling in Psychology, funded by the German Research Foundation (GRK 2277). Ingo Zettler was funded by a grant from the Carlsberg Foundation (CF16-0444).
                Categories
                Original Article

                Psychology,General behavioral science
                personality structure,HEXACO,personality traits,meta-analysis,HEXACO-PI-R

                Comments

                Comment on this article