Journal of STEM Education

Gender Differences in Conceptualizations of STEM Career Interest: Complementary Perspectives from Data Mining, Multivariate Data Analysis and Multidimensional Scaling

Data gathered from 325 middle school students in four U.S. states indicate that both male (p < .0005, RSQ = .33) and female (p < .0005, RSQ = .36) career aspirations for being a scientist are predictable based on knowledge of dispositions toward mathematics, science and engineering, plus self-reported creative tendencies. For males, strong predictors are creative tendencies (beta = .348) and dispositions toward science (beta = .326), while dispositions toward mathematics is a weaker (beta = .137) but still a significant (p < .05) predictor.

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