11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Using Item Response Theory for the Development of a New Short Form of the Eysenck Personality Questionnaire-Revised

      research-article

      Read this article at

      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

          The present work aims at developing a new version of the short form of the Eysenck Personality Questionnaire-Revised, which includes Psychoticism, Extraversion, Neuroticism, and Lie scales (48 items, 12 per scale). The work consists of two studies. In the first one, an item response theory model was estimated on the responses of 590 individuals to the full-length version of the questionnaire (100 items). The analyses allowed the selection of 48 items well discriminating and distributed along the latent continuum of each trait, and without misfit and differential item functioning. In the second study, the functioning of the new form of the questionnaire was evaluated in a different sample of 300 individuals. Results of the two studies show that reliability of the four scales is better than, or equal to that of the original forms. The new version outperforms the original one in approximating scores of the full-length questionnaire. Moreover, convergent validity coefficients and relations with clinical constructs were consistent with literature.

          Related collections

          Most cited references93

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

          Exploratory structural equation modeling: an integration of the best features of exploratory and confirmatory factor analysis.

          Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research. Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors in support of discriminant validity. Part of the problem is undue reliance on overly restrictive CFAs in which each item loads on only one factor. Exploratory SEM (ESEM), an overarching integration of the best aspects of CFA/SEM and traditional EFA, provides confirmatory tests of a priori factor structures, relations between latent factors and multigroup/multioccasion tests of full (mean structure) measurement invariance. It incorporates all combinations of CFA factors, ESEM factors, covariates, grouping/multiple-indicator multiple-cause (MIMIC) variables, latent growth, and complex structures that typically have required CFA/SEM. ESEM has broad applicability to clinical studies that are not appropriately addressed either by traditional EFA or CFA/SEM.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching

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

              The insidious effects of failing to include design-driven correlated residuals in latent-variable covariance structure analysis.

              In practice, the inclusion of correlated residuals in latent-variable models is often regarded as a statistical sleight of hand, if not an outright form of cheating. Consequently, researchers have tended to allow only as many correlated residuals in their models as are needed to obtain a good fit to the data. The current article demonstrates that this strategy leads to the underinclusion of residual correlations that are completely justified on the basis of measurement theory and research design. In many designs, the absence of such correlations will not substantially harm the fit of the model; however, failure to include them can change the meaning of the extracted latent variables and generate potentially misleading results. Recommendations include (a) returning to the full multitrait-multimethod design when measurement theory implies the existence of shared method variance and (b) abandoning the evil-but-necessary attitude toward correlated residuals when they reflect intended features of the research design. Copyright (c) 2008 APA.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                02 October 2018
                2018
                : 9
                : 1834
                Affiliations
                Department of Philosophy, Sociology, Education and Applied Psychology, School of Psychology, University of Padova , Padova, Italy
                Author notes

                Edited by: Marco Innamorati, Università Europea di Roma, Italy

                Reviewed by: Davide Marengo, Università degli Studi di Torino, Italy; Pietro Cipresso, Istituto Auxologico Italiano (IRCCS), Italy

                *Correspondence: Daiana Colledani daianacolledani@ 123456gmail.com

                This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2018.01834
                6190847
                30356840
                477475ba-882c-4f0f-9727-b299968e8321
                Copyright © 2018 Colledani, Anselmi and Robusto.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 March 2018
                : 07 September 2018
                Page count
                Figures: 0, Tables: 6, Equations: 0, References: 130, Pages: 13, Words: 11169
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                short eysenck personality questionnaire-revised,item response theory,2pl,esem,dif

                Comments

                Comment on this article