The structure of academic self-concept: The Marsh/Shavelson model.

Herbert W. Marsh·1990·Journal of Educational Psychology

Abstract

New academic self-concept instruments were used to measure self-concepts in 13 (Grades 5-6) or 16 (Grades 7-10) school subjects and to test the structure of academic self-concept posited in the Marsh/Shavelson model. First-order factor analyses identified the scales each instrument was designed to measure, demonstrating that academic self-concept is remarkably subject-specific. As posited, two higher order factors were sufficient to explain relations among core academic subjects, but additional higher order factors were needed to explain other school subjects (e.g., physical education, art, and music). The hierarchy, however, was weak, and much of the variance in specific subject self-concepts was unexplained by the higher order factors. Researchers interested in self-concepts in particular subjects are advised to use self-concept scales specific to those subject areas in addition, perhaps, to other measures of academic self-concept. Prior to the 1980s, reviewers of self-concept research noted a lack of theoretical models and appropriate measurement instruments. In an attempt to address this situation, Shavelson, Hubner, and Stanton (1976) reviewed existing theory, research, and instruments and developed a multifaceted, hierarchical model of self-concept. In their model a general facet at the apex of the self-concept hierarchy is divided into academic and nonacademic components of self-concept. Academic self-concept is then divided into self-concepts in particular subject areas (e.g., mathematics, English), and nonacademic self-concept is divided into social, emotional, and physical self-concepts. The academic portion of the Shavelson et al. model, which is the focus of this study, is shown in Panel A of Figure 1. The self-concept facets and the structure proposed by Shavelson et al. were heuristic and plausible, but they were not validated by research in their review. Commenting on this problem, Byrne (1984) noted that consider this inability to attain discriminant validity among the dimensions of SC [self-concept] to be one of the major complexities facing SC researchers today (pp. 449-450). In contrast, more recent research based on better theoretical models and measurement instruments supports the multidimensionality of self-concept and many aspects of the Shavelson et al. model (e.g., Boersma & Chapman, 1979; Byrne, 1984; Dusek & Flaherty, 1981; Fleming & Courtney, 1984; Halter, 1982; Marsh, 1988, in press-a; Marsh, Byrne, & Shavelson, 1988; 1982; Soares & Soares, 1982).

Cites (2)

  1. Self-concept: validation of construct interpretations.
    Shavelson, Richard J., Hubner, Judith J., Stanton, George C. · 1976 · Review of Educational Research
  2. The Perceived Competence Scale for Children
    Harter, Susan · 1982 · Child Development

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    Schunk, Dale H. · 1991 · Educational Psychologist
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  3. Reciprocal Effects of Self-Concept and Performance From a Multidimensional Perspective: Beyond Seductive Pleasure and Unidimensional Perspectives
    Marsh, Herbert W., Craven, Rhonda G. · 2006 · Perspectives on Psychological Science
  4. Expectancy-value theory of achievement motivation: A developmental perspective
    Wigfield, Allan · 1994 · Educational Psychology Review
  5. A General Approach for Representing Constructs in Organizational Research
    Bagozzi, Richard P., Edwards, Jeffrey R. · 1998 · Organizational Research Methods

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CoChat. (2026). Citation check: The structure of academic self-concept: The Marsh/Shavelson model. https://app.cochat.ai/papers/10.1037//0022-0663.82.4.623
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Marsh, H. W. (1990). The structure of academic self-concept: The Marsh/Shavelson model. Journal of Educational Psychology. https://doi.org/10.1037//0022-0663.82.4.623

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.