A pattern analysis of students' achievement goals.
Abstract
Cluster analysis procedures were used to classify 257 5th- and 6th-grade students on the basis of their mastery, ego, and work-avoidant goal orientations. The results identified 3 clusters of students with different achievement profiles in science. Students who exhibited a pattern in which mastery goals were stronger than the other 2 goals, showed the most positive achievement profile. In contrast students who were high on both mastery and ego goals did not perform as well academically; students low on both mastery and ego goals showed the most negative achievement profile. Additional analyses revealed that the cluster analysis provided a more distinctive and internally consistent set of findings than did pattern analyses that were based on median split procedures
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Cited by (27)
- Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.Ryan, Richard M., Deci, Edward L. · 2000 · American Psychologist
- The Role of Goal Orientation in Self-Regulated LearningPintrich, Paul R. · 2000 · Handbook of Self-Regulation
- Multiple goals, multiple pathways: The role of goal orientation in learning and achievementPintrich, Paul R. · 2000 · Journal of Educational Psychology
- Academic Self-Concept and Self-Efficacy: How Different Are They Really?Bong, Mimi, Skaalvik, Einar M. · 2003 · Educational Psychology Review
- Motivating the Academically Unmotivated: A Critical Issue for the 21st CenturyHidi, Suzanne, Harackiewicz, Judith M · 2000 · Review of Educational Research
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A pattern analysis of students' achievement goals. https://app.cochat.ai/papers/10.1037//0022-0663.85.4.582
- The paper
- Meece, J. L., & Holt, K. (1993). A pattern analysis of students' achievement goals. Journal of Educational Psychology. https://doi.org/10.1037//0022-0663.85.4.582
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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.