Affiliation:
1. Department of Educational Psychology, The University of Texas, Austin, TX, USA
Abstract
Currently, the number of science, technology, engineering, and mathematics (STEM) jobs are expanding faster than the U.S. labor market; yet many individuals with STEM degrees choose to work in other fields. The present study uses social cognitive career theory as a framework for researching the impact of several variables on future expectations to continue in STEM. We measured math self-efficacy with the Patterns of Adaptive Learning Scales and impostorism from the Clance Impostor Phenomenon Scale. New measures of interest and future intentions were created. One hundred twenty-one undergraduates (47.1% women; median age = 21.00) enrolled in STEM majors completed an online survey. We hypothesized that math self-efficacy and interest would significantly predict future expectations and that impostorism would significantly add to this prediction. This theory was analyzed with a hierarchical multiple regression, and the hypothesis was supported by data from men. In the women’s model, only interest emerged as a significant predictor. Implications are discussed.
Subject
Organizational Behavior and Human Resource Management,General Psychology,Applied Psychology,Education
Cited by
11 articles.
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