9
views
0
recommends
+1 Recommend
5 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Students’ Motivation in an Online and a Face-To-Face Semester : A Comparison of Initial Level, Development, and Use of Learning Activities

      1 , 1
      Zeitschrift für Psychologie
      Hogrefe Publishing Group

      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: Challenges for university students were high during distance education in lockdowns due to the COVID-19 pandemic. Self-regulation and motivation became more important, but motivation was possibly challenged more. To investigate motivational differences and possible positive effects of evidence-based learning activities, we followed two cohorts of preservice teachers over the course of one semester: One cohort was followed in 2019 in a face-to-face semester ( N 2019 = 225), and another cohort was followed 1 year later during the first lockdown ( N 2020 = 311). Students indicated their motivation at five measurement occasions and reported their use of learning activities twice. Multigroup linear change models indicated an overall decline of motivation in both cohorts. Surprisingly, neither initial motivation level nor motivational change differed between cohorts. Students who used more learning activities reported a more positive motivational development. This highlights the chance of evidence-based learning activities for students’ motivation in regular and distance education.

          Related collections

          Most cited references44

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

          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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

            Comparative fit indexes in structural models.

            P. Bentler (1990)
            Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Zeitschrift für Psychologie
                Zeitschrift für Psychologie
                Hogrefe Publishing Group
                2190-8370
                2151-2604
                May 2023
                May 2023
                : 231
                : 2
                : 93-102
                Affiliations
                [1 ]Department of Psychology, Heidelberg University, Germany
                Article
                10.1027/2151-2604/a000519
                715e467f-60f4-4573-af7d-857317bfaf43
                © 2023

                https://creativecommons.org/licenses/by-nc-nd/4.0

                History

                Comments

                Comment on this article