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Cited by 489

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis.

Durik, Amanda M., Vida, Mina, Eccles, Jacquelynne S.·2006·Journal of Educational Psychology

Abstract

This study examines how competence beliefs and task values predict high school achievement choices related to literacy. Students' task beliefs (self-concept of ability, intrinsic value, and importance) about reading in the 4th grade and English in the 10th grade were tracked over time. Task beliefs, school performance, and gender were used to predict students' (a) time per week spent reading for pleasure in 10th grade, (b) number of language arts courses per year of high school, and (c) reading relatedness of 12th-grade career aspirations. Results indicated that ability beliefs positively predicted all 3 outcomes, importance predicted career aspirations and course choices, and intrinsic value predicted leisure time reading and high school courses. Gender differences were also discussed.

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Metadata

Authors
Durik, A. M., Vida, M., & Eccles, J. S.
Venue
Journal of Educational Psychology
Published
2006
Volume
98
Issue
2
Pages
382-393
ISSN
  • 0022-0663 (ISSN-L)
  • 1939-2176
OpenAlex
W2028211827
Cited by
489
References
69
FWCI
4.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis. https://app.cochat.ai/papers/10.1037/0022-0663.98.2.382
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Durik, A. M., Vida, M., & Eccles, J. S. (2006). Task values and ability beliefs as predictors of high school literacy choices: A developmental analysis. Journal of Educational Psychology. https://doi.org/10.1037/0022-0663.98.2.382

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.