29
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Meta-analytische Strukturgleichungsmodelle : Potenziale und Grenzen illustriert an einem Beispiel aus der Organisationspsychologie

      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

          Zusammenfassung. Meta-analytische Ansätze gehören in der Psychologie inzwischen zum einschlägigen Methodeninventar zur Synthese empirischer Befunde und zur Ableitung evidenz-basierter Maßnahmen. Bisher dominieren univariate Ansätze, welche auf die Integration und Analyse einzelner Effektstärken abzielen und damit zur Prüfung multivariater (Kausal–)‌Zusammenhänge von begrenztem Wert sind. Meta-analytische Strukturgleichungsmodelle (MASEM) stellen eine hilfreiche Erweiterung dar, da sie eine meta-analytische Analyse komplexer multivariater Strukturen ermöglichen. Darüber hinaus lassen sich mittels MASEM multivariate Effektstärkenabhängigkeiten sowie Mehrebenenstrukturen abbilden. Ziel des Beitrags ist, die konzeptionellen Grundlagen von MASEM zu skizzieren und anhand eines empirischen Beispiels aus der Organisationspsychologie zu illustrieren. Den Abschluss bildet eine kritische Diskussion der Limitationen des Ansatzes.

          Meta-Analytical Structural Equation Modeling. Potentials and Limitations Illustrated with an Example from Organizational Psychology

          Abstract. Meta-analyses are a important part of the methodological inventory for the synthesis of empirical findings and the derivation of evidence-based measures. So far, univariate approaches have dominated, which aim at the integration and analysis of individual effect sizes and are, thus, of limited value for testing multivariate (causal) relationships. Meta-analytical structural equation models (MASEM) represent a helpful extension, as they allow a meta-analytical analysis of complex multivariate structures. In addition, MASEM can be used to map dependencies between multivariate effect sizse and multi-level structures. The aim of this paper is to outline the conceptual foundations of MASEM and to illustrate them using an empirical example from organizational psychology. Finally, a critical discussion of the limitations of the approach will be provided.

          Related collections

          Most cited references14

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

          Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach.

          Meta-analysis is an indispensable tool used to synthesize research findings in the social, educational, medical, management, and behavioral sciences. Most meta-analytic models assume independence among effect sizes. However, effect sizes can be dependent for various reasons. For example, studies might report multiple effect sizes on the same construct, and effect sizes reported by participants from the same cultural group are likely to be more similar than those reported by other cultural groups. This article reviews the problems and common methods to handle dependent effect sizes. The objective of this article is to demonstrate how 3-level meta-analyses can be used to model dependent effect sizes. The advantages of the structural equation modeling approach over the multilevel approach with regard to conducting a 3-level meta-analysis are discussed. This article also seeks to extend the key concepts of Q statistics, I2, and R2 from 2-level meta-analyses to 3-level meta-analyses. The proposed procedures are implemented using the open source metaSEM package for the R statistical environment. Two real data sets are used to illustrate these procedures. New research directions related to 3-level meta-analyses are discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            HOW IMPORTANT ARE JOB ATTITUDES? META-ANALYTIC COMPARISONS OF INTEGRATIVE BEHAVIORAL OUTCOMES AND TIME SEQUENCES.

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

              The Effects of Team Diversity on Team Outcomes: A Meta-Analytic Review of Team Demography

                Bookmark

                Author and article information

                Contributors
                Journal
                pru
                Psychologische Rundschau
                Hogrefe Verlag, Göttingen
                0033-3042
                2190-6238
                2020
                : 71
                : 2
                : 111-118
                Affiliations
                [ 1 ]Leibniz-Zentrum für Psychologische Information und Dokumentation (ZPID), Trier
                [ 2 ]Universität Bayreuth
                Author notes
                Dr. Holger Steinmetz, Leibniz-Zentrum für Psychologische Information und Dokumentation (ZPID), Universitätsring 15, 54296 Trier, hs@ 123456leibniz-psychology.org
                Article
                pru_71_2_111
                10.1026/0033-3042/a000483
                f78f1afe-755d-4203-bf59-8c3d8db34dcc
                Copyright @ 2020
                History
                Categories
                Originalarbeit

                Psychology
                research synthesis,MASEM,Forschungssynthese,structural equation modeling,meta-analysis,Meta-Analysen,Strukturgleichungsmodelle

                Comments

                Comment on this article