Predicting Academic Performance with an Assessment of Students’ Knowledge of the Benefits of High-Level and Low-Level Construal
| Autor: | Tina Nguyen, Abigail A. Scholer, David B. Miele, Michael C. Edwards, Kentaro Fujita |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Social Psychological and Personality Science. 14:195-206 |
| ISSN: | 1948-5514 1948-5506 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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