Abstract
Metamotivation research suggests that people understand the benefits of engaging in high-level versus low-level construal (i.e., orienting toward the abstract, essential versus concrete, idiosyncratic features of events) in goal-directed behavior. The current research examines the psychometric properties of one assessment of this knowledge and tests whether it predicts consequential outcomes (academic performance). Exploratory and confirmatory factor analyses revealed a two-factor structure, whereby knowledge of the benefits of high-level construal (i.e., high-level knowledge) and low-level construal (i.e., low-level knowledge) were distinct constructs. Participants on average evidenced beliefs about the normative benefits of high-level and low-level knowledge that accord with published research. Critically, individual differences in high-level and low-level knowledge independently predicted grades, controlling for traditional correlates of grades. These findings suggest metamotivational knowledge may be a key antecedent to goal success and lead to novel diagnostic assessments and interventions.
Original language | English (US) |
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Journal | Social Psychological and Personality Science |
DOIs | |
State | Accepted/In press - 2022 |
Keywords
- academic performance
- construal level
- metamotivation
- psychometrics
- self-regulation
ASJC Scopus subject areas
- Social Psychology
- Clinical Psychology
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Predicting Academic Performance with an Assessment of Students’ Knowledge of the Benefits of High-Level and Low-Level Construal
Nguyen, T. (Creator), Scholer, A. A. (Creator), Miele, D. B. (Creator), Edwards, M. (Creator) & Fujita, K. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.6006586, https://sage.figshare.com/collections/Predicting_Academic_Performance_with_an_Assessment_of_Students_Knowledge_of_the_Benefits_of_High-Level_and_Low-Level_Construal/6006586
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Predicting Academic Performance with an Assessment of Students’ Knowledge of the Benefits of High-Level and Low-Level Construal
Nguyen, T. (Creator), Scholer, A. A. (Creator), Miele, D. B. (Creator), Edwards, M. (Creator) & Fujita, K. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.6006586.v1, https://sage.figshare.com/collections/Predicting_Academic_Performance_with_an_Assessment_of_Students_Knowledge_of_the_Benefits_of_High-Level_and_Low-Level_Construal/6006586/1
Dataset