Science expectancy, value, and cost profiles and their proximal and distal relations to undergraduate science, technology, engineering, and math persistence
Autor: | Stephanie V. Wormington, You-kyung Lee, Michael M. Barger, Rochelle D. Schwartz-Bloom, Lisa Linnenbrink-Garcia, Tony Perez |
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Rok vydání: | 2019 |
Předmět: |
Expectancy theory
Group membership 05 social sciences 050401 social sciences methods 050301 education Academic achievement medicine.disease Article Education 0504 sociology History and Philosophy of Science Underrepresented Minority medicine Mathematics education ComputingMilieux_COMPUTERSANDEDUCATION Attrition Expectancy-value theory 0503 education Competence (human resources) |
Zdroj: | Science education. 103(2) |
ISSN: | 0036-8326 |
Popis: | Despite efforts to attract and maintain diverse students in the science, technology, engineering and math (STEM) pipeline, issues with attrition from undergraduate STEM majors persist. The aim of this study was to examine how undergraduate science students' competence beliefs, task values, and perceived costs in science combine into motivational profiles and to consider how such profiles relate to short and long-term persistence outcomes in STEM. We also examined the relations between underrepresented group membership and profile membership. Using latent profile analysis, we identified three profiles that characterized 600 participants' motivation during their first semester in college: Moderate All, Very High Competence/Values-Low Effort Cost, and High Competence/Values-Moderate Low Costs. The Moderate All profile was associated with the completion of fewer STEM courses and lower STEM GPAs relative to the other profiles after one year and after four years of college. Furthermore, underrepresented minority students were overrepresented in the Moderate All profile. Findings contribute to our understanding of how science competence beliefs, task values, and perceived costs may coexist and what combinations of these variables may be adaptive or deleterious for STEM persistence and achievement. |
Databáze: | OpenAIRE |
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