Abstract
Females are underrepresented in certain disciplines, which translates into their having less promising career outlooks and lower earnings. This study examines the effects of socio-economic status, academic performance, high school curriculum and involvement in extra-curricular activities, as well as self-efficacy for academic achievement on choices of academic disciplines by males and females. Disciplines are classified based on Holland’s theory of personality-based career development. Different models for categorical outcome variables are compared including: multinomial logit, nested logit, and mixed logit. Based on the findings presented here, first generation status leads to a greater likelihood of choosing engineering careers for males but not for females. Financial difficulties have a greater effect on selecting scientific fields than engineering fields by females. The opposite is true for males. Passing grades in calculus, quantitative test scores, and years of mathematics in high school as well as self-ratings of abilities to analyze quantitative problems and to use computing are positively associated with choice of engineering fields.
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Notes
Williams (2009) suggests use of heterogeneous choice models for binary and ordinal dependent variables. While use of mixed logit models allows to incorporate heterogeneity of individuals in the model, we could not find a study devoted to a comparison of mixed logit coefficients across groups. Hence, we took a conservative approach by comparing expected probabilities and directions and significances of coefficients within groups.
Partial derivatives—the logistic regression coefficients multiplied by a given probability and 1 minus a given probability—illustrate this point (Pampel 2000). “The effect [of b in terms of logged odds] will be at its maximum when P equals 0.5 since 0.5 × 0.5 = 0.25; 0.6 × 0.4 = 0.24, 0.7 × 0.3 = 0.21, and so on. The closer P comes to the ceiling or floor, the smaller the value of P × (1 − P), and the smaller the effect of a unit change in X has on the probability” (ibid, p. 25).
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The authors are grateful to Drew Clark, Kyrylo Kobzyev, Robert Toutkoushian, and two anonymous reviewers for their valuable comments and suggestions. All errors remain our own.
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Johnson, I.Y., Muse, W.B. Choice of Academic Major at a Public Research University: The Role of Gender and Self-Efficacy. Res High Educ 58, 365–394 (2017). https://doi.org/10.1007/s11162-016-9431-1
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DOI: https://doi.org/10.1007/s11162-016-9431-1