Cited by 837Career Development and DiversityEducation, Achievement, and GiftednessScience Education and Perceptions

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Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields

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Wang, Ming-Te, Degol, Jessica·2013·Developmental Review

DOI 10.1016/j.dr.2013.08.001PMC PMC3843492

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Abstract

The United States has made a significant effort and investment in STEM education, yet the size and the composition of the STEM workforce continues to fail to meet demand. It is thus important to understand the barriers and factors that influence individual educational and career choices. In this article, we conduct a literature review of the current knowledge surrounding individual and gender differences in STEM educational and career choices, using expectancy-value theory as a guiding framework. The overarching goal of this paper is to provide both a well-defined theoretical framework and complementary empirical evidence for linking specific sociocultural, contextual, biological, and psychological factors to individual and gender differences in STEM interests and choices. Knowledge gained through this review will eventually guide future research and interventions designed to enhance individual motivation and capacity to pursue STEM careers, particularly for females who are interested in STEM but may be constrained by misinformation or stereotypes.

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Intrinsic Motivation and Self-Determination in Human Behavior
Deci, E. L., & Ryan, R. M. (1985) · doi:10.1007/978-1-4899-2271-7 · Cited by 26,772
Emerging adulthood: A theory of development from the late teens through the twenties.
Arnett, J. J. (2000) · American Psychologist · doi:10.1037/0003-066x.55.5.469 · Cited by 16,843
Intrinsic Motivation and Self-Determination in Human Behavior
Miller, K. A. J., Deci, E. L., & Ryan, R. M. (1988) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2070638 · Cited by 15,406
A Handbook of Child Psychology
(1932) · Nature · doi:10.1038/130331a0 · Cited by 10,133
The emotional dog and its rational tail: A social intuitionist approach to moral judgment.
Haidt, J. (2001) · Psychological Review · doi:10.1037/0033-295x.108.4.814 · Cited by 8,048
Expectancy-value theory of achievement motivation
Wigfield, A., & Eccles, J. S. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.1999.1015 · Cited by 7,383
A threat in the air: How stereotypes shape intellectual identity and performance
Steele, C. M. (1997) · American Psychologist · doi:10.1037/0003-066x.52.6.613 · Cited by 6,770
Handbook of research on mathematics teaching and learning
(1992) · Choice Reviews Online · doi:10.5860/choice.30-2122 · Cited by 6,131
The feeling of what happens: body and emotion in the making of consciousness
(2000) · Choice Reviews Online · doi:10.5860/choice.37-6553 · Cited by 6,001
Making Vocational Choices: A Theory of Vocational Personalities and Work Environments
Holland, J. L. (1973) · Cited by 4,990

Show all 396 references

Research works printed but not linked: 11

Balfanz, R., McPartland, J., & Shaw, A. (2002a, April). Re-conceptualizing extra help for high school students in a high standards era. Paper presented at the office of adult and vocational education, U.S. Department of Education preparing for America’s Future High School symposium, Washington, DC.
Beaman, R. (2006). Behavioral interactions in the secondary school between teachers and students: What they say, what they do. Unpublished dissertation, Macquarrie University, Sydney, Australia.
Eccles, 1983, Female achievement patterns: Attributions, expectancies, values, and choice, Journal of Social Issues, 1
Eccles, J. S., & Harold, R. D. (1992). Gender differences in educational and occupational patterns among the gifted. In N. Colangelo, S.G. Assouline, & D.L. Ambroson (Eds.), Talent development: Proceedings from the 1991 Henry B. and Jocelyn Wallace National Research symposium on talent development (pp. 3–29). Unionville, NY: Trillium Press.
Gilbreath, 2006, Starting salaries of college graduates, Journal of Legal Economics, 13, 79
The Education Trust (2008). Core problems: Out-of-field teaching persists in key academic courses and high poverty schools. <http://www.edtrust.org/dc/press-room/press-release/core-problems-out-of-field-teaching-persists-in-key-academic-courses-esp> (Press release).
Maehr, 1991, The ‘psychological environment’ of the school: A focus for school leadership, Advances in Educational Administration, 2, 51
National Research Council (2003). Work and family trends. In E. Smolensky (Ed.), Working families & growing kids: Caring for children and adolescents (pp. 23–41). Washington, DC: National Academies Press.
Nyhan, 1999, Impact of infrastructure investments and socio-economic conditions on student achievement, Journal of Education Finance, 25, 211
Riordan, 1994, Single-gender schools: Outcomes for African and Hispanic Americans, Research in Sociology of Education and Socialization, 10, 177
Ripa, 2003, General cognitive functions, mental rotations ability, and handedness in adult females with congenital adrenal hyperplasia, Hormones and Behavior, 44, 72

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Authors: Wang, M.-T., & Degol, J.
Affiliations: University of Pittsburgh (US)
Corresponding author: Wang, Ming-Te
ORCID: Wang, Ming-Te
Degol, Jessica
Venue: Developmental Review
Publisher: Elsevier BV
Published: 2013-12
Volume: 33
Issue: 4
Pages: 304-340
ISSN: 0273-2297 (ISSN-L)
DOI: 10.1016/j.dr.2013.08.001
PMC: PMC3843492
OpenAlex: W1971294185
Semantic Scholar: 58a86789a21fce2b4032b86f088a2479f7bd2760
Cited by: 837
References: 396
Citations by year: 2026: 73 · 2025: 75 · 2024: 91 · 2023: 79 · 2022: 98 · 2021: 72 · 2020: 104 · 2019: 81 · 2018: 53 · 2017: 41 · 2016: 37 · 2015: 21 · 2014: 9
FWCI: 58.95
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Developmental Review (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: Eunice Kennedy Shriver National Institute of Child Health and Human Development (R03HD074731)
Topics: Social Sciences › Psychology › Applied Psychology › Career Development and Diversity
Social Sciences › Psychology › Developmental and Educational Psychology › Education, Achievement, and Giftedness
Social Sciences › Psychology › Developmental and Educational Psychology › Science Education and Perceptions
Keywords: STEM career choice, gender differences, expectancy-value theory, motivation, STEM workforce, gender stereotypes, women in STEM, educational choice, sociocultural factors, biological factors, psychological factors

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Motivational pathways to STEM career choices: Using expectancy–value perspective to understand individual and gender differences in STEM fields

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