Social cognitive predictors of Latinx and White engineering students' academic satisfaction and persistence intentions: Exploring interactions among social identities and institutional context
Social cognitive predictors of Latinx and White engineering students' academic satisfaction and persistence intentions: Exploring interactions among social identities and institutional context
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DOI：
10.1016/j.jvb.2021.103580
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发表时间：
2021-06
影响因子：
11.1
通讯作者：
Lisa Y. Flores;Rachel L. Navarro;Bo-hyun Lee;Xiaotian Hu;David Diaz;Leticia D. Martinez
中科院分区：
文献类型：
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作者：
Lisa Y. Flores;Rachel L. Navarro;Bo-hyun Lee;Xiaotian Hu;David Diaz;Leticia D. Martinez
长期以来，工程师队伍中缺乏性别和种族多样性，拉丁裔和白色女性在工程师中的代表性严重不足。本研究探讨了社会认知变量在工程学术满意度和坚持意图中的作用，采用学术适应的综合社会认知模型（Lent et al.，2013年）。结果表明，（a）假设的双向模型与全样本、基于种族、性别、机构、种族×性别和种族×机构的子样本的数据拟合良好，（B）除6个参数外，所有参数均具有显著性，并且在全样本的预期方向上，（c）模型参数在种族、性别、机构和种族×性别之间不变，但在种族×机构子样本之间存在差异，以及（d）模型中的关系解释了全样本和子样本的工程学术满意度和持久性意图的显著差异。研究结果的影响是针对教育和职业干预，重点是保留拉丁裔和妇女在工程。
Engineering has long lacked gender and racial diversity among its ranks, with Latinx and White women substantially underrepresented in engineering. The present study explored the role of social cognitive variables in engineering academic satisfaction and persistence intentions with a diverse sample of 1022 engineering students using the integrative social cognitive model of academic adjustment (Lent et al., 2013). Results indicated that (a) the hypothesized bidirectional model fit the data well for the full sample, subsamples based on race, gender, institution, race × gender, and race × institution, (b) all but six parameters were significant and in the expected direction for the full sample, (c) model parameters were invariant across race, gender, institution, and race × gender, but differed across race × institution subsamples, and (d) the relations within the model explained a significant amount of variance in engineering academic satisfaction and persistence intentions for the full sample and sub-samples. Implications of the findings are aimed at educational and career interventions focusing on retaining Latinx and women in engineering.