科学、技术、工程和数学（STEM）选择选项的预测因素：社会认知选择模型在性别和种族/族裔方面的元分析路径分析。
Predictors of science, technology, engineering, and mathematics choice options: A meta-analytic path analysis of the social-cognitive choice model by gender and race/ethnicity.
机构信息
Department of Counseling, Higher Education, and Special Education, University of Maryland, College Park.
Department of Educational and Counseling Psychology, University at Albany, State University of New York.
出版信息
J Couns Psychol. 2018 Jan;65(1):17-35. doi: 10.1037/cou0000243.
We tested the interest and choice portion of social-cognitive career theory (SCCT; Lent, Brown, & Hackett, 1994) in the context of science, technology, engineering, and mathematics (STEM) domains. Data from 143 studies (including 196 independent samples) conducted over a 30-year period (1983 through 2013) were subjected to meta-analytic path analyses. The interest/choice model was found to fit the data well over all samples as well as within samples composed primarily of women and men and racial/ethnic minority and majority persons. The model also accounted for large portions of the variance in interests and choice goals within each path analysis. Despite the general predictive utility of SCCT across gender and racial/ethnic groups, we did find that several parameter estimates differed by group. We present both the group similarities and differences and consider their implications for future research, intervention, and theory refinement. (PsycINFO Database Record
我们在科学、技术、工程和数学（STEM）领域检验了社会认知职业理论（SCCT；Lent、Brown 和 Hackett，1994）的兴趣和选择部分。这项研究的数据来自于 30 年间（1983 年至 2013 年）进行的 143 项研究（包括 196 个独立样本），并采用了元分析路径分析。结果表明，该兴趣/选择模型在所有样本以及主要由女性和男性、少数族裔和多数族裔组成的样本中都能很好地拟合数据。该模型还解释了每个路径分析中兴趣和选择目标的大部分差异。尽管 SCCT 在性别和种族/族裔群体中具有普遍的预测效用，但我们确实发现，几个参数估计因群体而异。我们同时呈现了群体的相似性和差异性，并考虑了它们对未来研究、干预和理论完善的意义。
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