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Cited by 380

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Educational and Vocational Aspirations of Minority and Female Students: A Longitudinal Study

Mau, Wei‐Cheng, Bikos, Lynette Heim·2000·Journal of Counseling & Development

Abstract

This study examined the relative importance of school, family, personal/psychological, race, and sex variables in predicting educational and vocational aspirations. A nationally representative sample of 10th‐grade students was followed through 2 years beyond their high school. Results suggested that sex and race significantly predicted educational and vocational aspirations of students. The educational aspiration model was shown to be more robust than the occupational aspiration model. Overall, students showed increases in educational and occupational aspirations, regardless of sex and race. Compared with other groups, Asian Americans had the greatest increase in educational aspirations. Female students, on the average, had higher educational and vocational aspirations.

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Crossref · 10.1002/j.1556-6676.2000.tb02577.x

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Metadata

Authors
Mau, W., & Bikos, L. H.
Venue
Journal of Counseling & Development
Publisher
Wiley
Published
2000-04
Volume
78
Issue
2
Pages
186-194
ISSN
  • 0748-9633 (ISSN-L)
  • 1556-6676
OpenAlex
W2051767772
Cited by
380
References
2
FWCI
14.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Educational and Vocational Aspirations of Minority and Female Students: A Longitudinal Study. https://app.cochat.ai/papers/10.1002/j.1556-6676.2000.tb02577.x
The paper
Mau, W., & Bikos, L. H. (2000). Educational and Vocational Aspirations of Minority and Female Students: A Longitudinal Study. Journal of Counseling & Development. https://doi.org/10.1002/j.1556-6676.2000.tb02577.x

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.