The System of Academic Task Values: The Development of Cross-Domain Comparisons of Values and College Major Choice.

This study synthesizes theories of achievement motivation to better understand the development of academic task values in high school students and their relation to college major selection. We utilize longitudinal structural equation modeling to understand how grades relate to task values, how task...

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Publicado en:Developmental Psychology Vol. 59; no. 6; pp. 1032 - 1045
Autores principales: Umarji, Osman, Wan, Sirui, Wolff, Fabian, Eccles, Jacquelynne
Formato: Artículo
Publicado: American Psychological Association Jun2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2023
      vid: 59
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      pub: American Psychological Association
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        10.1037/dev0001519
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        atl: The System of Academic Task Values: The Development of Cross-Domain Comparisons of Values and College Major Choice.
      aug:
        au:
          Umarji, Osman
          Wan, Sirui
          Wolff, Fabian
          Eccles, Jacquelynne
        affil:
          Yaqeen Institute for Islamic Research, Irving, Texas
          School of Education, University of California, Irvine
          Institute of Psychology, University of Koblenz-Landau
          Institute for Positive Psychology and Education, Catholic Australian University
      su:
        Michigan
        Physical sciences
        Vocational guidance
        Motivation (Psychology)
        Task performance
        Psychology
        Academic achievement
        Sex distribution
        Universities & colleges
        Decision making
        High school students
        Structural equation modeling
        Mathematics
        Biology
        Theory
        Descriptive statistics
        Longitudinal method
      sug:
        subj:
          Physical sciences
          Vocational guidance
          Motivation (Psychology)
          Task performance
          Psychology
          Academic achievement
          Sex distribution
          Universities & colleges
          Decision making
          High school students
          Michigan
          Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
          Colleges, Universities, and Professional Schools
          Vocational Rehabilitation Services
          Structural equation modeling
          Mathematics
          Biology
          Theory
          Descriptive statistics
          Longitudinal method
      keyword:
        academic motivation
        college major selection
        cross-domain comparisons
        dimensional comparisons
        expectancy-value
        subjective task values
        academic motivation
        college major selection
        cross-domain comparisons
        dimensional comparisons
        expectancy-value
        subjective task values
      ab: This study synthesizes theories of achievement motivation to better understand the development of academic task values in high school students and their relation to college major selection. We utilize longitudinal structural equation modeling to understand how grades relate to task values, how task values across domains relate to one another over time, and how the system of task values relates to college major choice. In our sample of 1,279 high students from Michigan, we find evidence that task value for math negatively relates to task value for English and vice versa. We also find that task value for math and physical science positively relates to the math-intensiveness of selected college majors, whereas English and biology task value negatively relates to math-intensiveness of majors. Gender differences in college major selection are mediated by differences in task values. Our findings have implications for theories of achievement motivation and motivational interventions. Public Significance Statement: This study advances the idea that academic values across multiple subjects in high school are predictive of college major selection. This study suggests that gender differences in selecting math-intensive majors can be explained by gender differences in values across the subjects of math, English, and science.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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