Journal ArticleDOI
The structure of academic self-concepts revisited: The nested Marsh/Shavelson model
Martin Brunner,Ulrich Keller,Christophe Dierendonck,Monique Reichert,Sonja Ugen,Antoine Fischbach,Romain Martin +6 more
Reads0
Chats0
TLDR
The nested Marsh/Shavelson (NMS) model as mentioned in this paper integrates structural characteristics of academic self-concepts that have proved empirically incompatible in previous studies, and it conceives academic selfconcepts to be subject specific, strongly separated across domains, and hierarchically organized.Abstract:
The nested Marsh/Shavelson (NMS) model integrates structural characteristics of academic self-concepts that have proved empirically incompatible in previous studies. Specifically, it conceives of academic self-concepts to be subject specific, strongly separated across domains, and hierarchically organized, with general academic self-concept at the top of the hierarchy. In Part 1 of the present study, data from a representative sample of eighth graders (N = 4,847) from Luxembourg showed that the NMS model captures the structure of self-concepts in six core subjects. In Part 2, the NMS model was integrated into a longitudinal extended internal/external frame-of-reference model. The developmental dynamics between general and subject-specific achievement, as measured in Grade 6, and the corresponding academic self-concepts in Grade 8 were examined, with data from a subsample of students (N = 3,045). Given its theoretical and empirical bases, the NMS model has clear potential to guide future research on academic self-concepts.read more
Citations
More filters
Journal ArticleDOI
A Bifactor Exploratory Structural Equation Modeling Framework for the Identification of Distinct Sources of Construct-Relevant Psychometric Multidimensionality
TL;DR: In this paper, two sources of construct-relevant psychometric multidimensionality present in many complex multidimensional instruments routinely used in psychological and educational research are related to the fallible nature of indicators as perfect indicators of a single construct, and the hierarchical nature of the constructs being assessed.
Journal ArticleDOI
“My Questionnaire is Too Long!” The assessments of motivational-affective constructs with three-item and single-item measures
Katarzyna Gogol,Martin Brunner,Thomas Goetz,Romain Martin,Sonja Ugen,Ulrich Keller,Antoine Fischbach,Franzis Preckel +7 more
TL;DR: In this article, the authors examined the psychometric properties of short scales (with three items) and single-item measures for two core motivational-affective constructs (i.e., academic anxiety and academic self-concept) by conducting systematic comparisons with corresponding long scales across school subjects and within different subject domains.
Journal ArticleDOI
Anomalous Results in G-Factor Models: Explanations and Alternatives
TL;DR: The authors argue that the application of the bifactor model and related models require a 2-level sampling process that is usually not present in empirical studies and demonstrate how alternative models with a G-factor and specific factors can be derived that are more well-defined for the actual single- level sampling design that underlies most empirical studies.
Journal ArticleDOI
Enjoying mathematics or feeling competent in mathematics? Reciprocal effects on mathematics achievement and perceived math effort expenditure
TL;DR: This study provides further support for the affect-competence separation by showing that CFA models with separate factors for math enjoyment and math competence beliefs fit the data substantially better than models without it.
References
More filters
Book
Principles and Practice of Structural Equation Modeling
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Journal ArticleDOI
Alternative Ways of Assessing Model Fit
Michael W. Browne,Robert Cudeck +1 more
TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Book
Testing Structural Equation Models
Kenneth A. Bollen,J. Scott Long +1 more
TL;DR: In this paper, Bollen et al. proposed a model fitting metric for Structural Equation Models, which is based on the Monte Carlo evaluation of Goodness-of-Fit measures.
Related Papers (5)
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
Reciprocal Effects of Self-Concept and Performance From a Multidimensional Perspective: Beyond Seductive Pleasure and Unidimensional Perspectives:
Herbert W. Marsh,Rhonda Craven +1 more