{"title":"Gender and Racial Differences in Career Decision-making Dispositions of College Students Enrolled in STEM Majors","authors":"W. Mau, Valerie Perkins, Yun-Hwa Mau","doi":"10.13189/UJP.2016.040602","DOIUrl":null,"url":null,"abstract":"Anticipated shortfall in the science, technology, engineering, and mathematics (STEM) workforce in the United States has prompted researchers and policy-makers to examine the supply pipeline and factors influencing the supply pipeline. Applying Social-Cognitive Career Theory, this study examined decision-making predisposition of college students who were interested in STEM majors. Results show significant gender and racial differences in in decision-making self-efficacy, decision-making style, and career indecision. Logistic analyses show that race, decision-making style, and career decision-making self-efficacy significantly predict enrollment in STEM majors. Implications for counseling interventions are discussed.","PeriodicalId":23456,"journal":{"name":"Universal Journal of Psychology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Universal Journal of Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13189/UJP.2016.040602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Anticipated shortfall in the science, technology, engineering, and mathematics (STEM) workforce in the United States has prompted researchers and policy-makers to examine the supply pipeline and factors influencing the supply pipeline. Applying Social-Cognitive Career Theory, this study examined decision-making predisposition of college students who were interested in STEM majors. Results show significant gender and racial differences in in decision-making self-efficacy, decision-making style, and career indecision. Logistic analyses show that race, decision-making style, and career decision-making self-efficacy significantly predict enrollment in STEM majors. Implications for counseling interventions are discussed.