David Gibson

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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Longitudinal analysis of cognitive constructs fostered by STEM activities for middle school students

The purpose of this study was to determine whether the changes found to occur pre- to post intervention in students' cognitive structures continued to persist two years later. Major findings were: 1) higher-order STEM-related constructs established during the treatment year tended to persist two years later, even as component dispositions varied, and 2) gender differences in level of persistence emerged in only one of the four higher-order constructs identified.

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