6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Rosenberg's self‐esteem scale: Two factors or method effects

      ,
      Structural Equation Modeling: A Multidisciplinary Journal
      Informa UK Limited

      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.

          Related collections

          Most cited references17

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

          A general approach to confirmatory maximum likelihood factor analysis

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

            Positive and negative global self-esteem: a substantively meaningful distinction or artifactors?

            Global self-esteem based on M. Rosenberg's (1965) scale is typically treated as a unidimensional scale. However, factor analyses suggest separate factors associated with positively and negatively worded items, and there is an ongoing debate about the substantive meaningfulness of this distinction. Confirmatory factor analysis (CFA) was used to evaluate alternative 1- and 2-factor models and to test hypotheses about how the factors vary with reading ability and age. Responses based on the National Longitudinal Study of 1988 (S.J. Ingles et al., 1992) reflected a relatively unidimensional factor and method effects associated with negatively worded items. Such effects are common in rating scale responses, and this CFA approach may be useful in evaluating whether factors associated with positively and negatively worded items are substantively meaningful or artifactors.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cross-Validation Of Covariance Structures.

              This paper examines methods for comparing the suitability of alternative models for covariance matrices. A cross-validation procedure is suggested and its properties are examined. To motivate the discussion, a series of examples is presented using longitudinal data.
                Bookmark

                Author and article information

                Journal
                Structural Equation Modeling: A Multidisciplinary Journal
                Structural Equation Modeling: A Multidisciplinary Journal
                Informa UK Limited
                1070-5511
                1532-8007
                January 1999
                January 1999
                : 6
                : 1
                : 84-98
                Article
                10.1080/10705519909540120
                17100c99-a4d8-4b0b-bad6-e7bf9ce175bb
                © 1999
                History

                Comments

                Comment on this article