The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Noncognitive Variables in Predicting Academic Success by Race
Abstract
The purpose of this study was to examine the reliability, construct validity, and predictive validity of the Non-Cognitive Questionnaire for different racial groups. The questionnaire had adequate test-retest reliability, and evidence for its construct validity was provided. It significantly added to predicting grades for both White and Black subsamples and significantly predicted persistence for the Black subsamples.
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Citations
Cites
Dropouts from higher education: Toward an empirical model
Spady, W. G. (1971) · Interchange · doi:10.1007/bf02282469 · Cited by 768
Cited by
Richardson, M., Abraham, C., & Bond, R. (2012) · Psychological Bulletin · doi:10.1037/a0026838 · Cited by 3,646
“Representative measure(s): availability of strong support person (Tracey & Sedlacek, 1984).”
BackgroundDo Psychosocial and Study Skill Factors Predict College Outcomes? A Meta-Analysis.
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.2.261 · Cited by 2,479
Undergraduate Student-Faculty Research Partnerships Affect Studen Retention
Nagda, B. A., Gregerman, S. R., Jonides, J., von Hippel, W., & Lerner, J. S. (1998) · The Review of Higher Education · doi:10.1353/rhe.1998.0016 · Cited by 724
The role of academic and non-academic factors in improving college retention: ACT policy report
Lotkowski, V. A., Robbins, S. B., & Noeth, R. J. (2004) · PsycEXTRA Dataset · doi:10.1037/e420492008-001 · Cited by 443
Huang, S., & Fang, N. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.08.015 · Cited by 373
Metadata
- Authors
- Tracey, T. J., & Sedlacek, W. E.
- Venue
- Measurement and Evaluation in Guidance
- Publisher
- Informa UK Limited
- Published
- 1984-01
- Volume
- 16
- Issue
- 4
- Pages
- 171-178
- ISSN
- 0025-6307 (ISSN-L)
- OpenAlex
- W1599808480
- Cited by
- 237
- References
- 1
- FWCI
- 4.45
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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.
