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Journal ArticleDOI

Women's Career Choices: Focus on Science, Math, and Technology Careers

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TLDR
For example, this article found that for women persistence was related to the number of elective high school science courses taken and that women who had higher career commitment were more likely to have switched aspirations to another career field.
Abstract
This study was part of a longitudinal study of factors related to persistence in a science-related career. Participants (N = 173; 97 women and 76 men) were a subsample of matched participants from the 1980 and 1990 phases of data collection in the midwestern United States who in 1980, while in high school, aspired to a science, math, or technology career. By 1990, 36% of women and 46% of men had persisted in a science-related career. Structural equation model testing indicated that for women persistence was related to the number of elective high school science courses taken and that women who had higher career commitment were more likely to have switched aspirations to another career field. For men, persistence was related to their 1980 and 1990 career aspiration level and needing and obtaining financial support for college. For men these relationships also incorporated the largely indirect effects of high school science grade point average. Implications for counseling include encouraging interested adolescent girls to take elective science courses and nurturing aspiration level in adolescent boys who have science ability and are interested in a science career. In the 1970s and 1980s, the United States witnessed several changes in the opportunity structure for women that positively affected their career opportunities. Although women have increased their participation in science, math, and technology careers in the 20 or more years since educational equity legislation was passed, that participation is still well below parity (Brush, 1991; Dix, 1987; National Science Foundation, 1990). A priority for government agencies such as the National Science Foundation and the Department of Education is to increase the parity (i.e., equal participation) of women in science and technical occupations. A major purpose of the longitudinal study reported here was to identify factors related to persistence and nonpersistence in science, math, and technology careers for a group of students who aspired to a science-related career when they were originally studied in 1980 when they were 9th or 12th graders in high school. A particular focus was to identify factors related to women's persistence in these career fields. Knowledge of the factors found to relate to persistence in a science-related career should be useful to counselors in high schools and colleges in designing interventions that will lead to greater persistence of women and

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Citations
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Journal ArticleDOI

Self-Efficacy Beliefs in Academic Settings

TL;DR: In this article, the authors examined the contribution made by the self-efficacy component of Bandura's (1986) social cognitive theory to the study of self-regulation and motivation in academic settings.
Journal ArticleDOI

The career reasons of nascent entrepreneurs

TL;DR: The authors explored the reasons that nascent entrepreneurs offered for their work and career choices and compared those responses to the reasons given by a group of nonentrepreneurs, finding that self-realization, financial success, roles, innovation, recognition, and independence were the most common reasons for entrepreneurship.
Journal ArticleDOI

The Science of Sex Differences in Science and Mathematics

TL;DR: It is concluded that early experience, biological factors, educational policy, and cultural context affect the number of women and men who pursue advanced study in science and math and that these effects add and interact in complex ways.
Journal ArticleDOI

Math and science motivation: A longitudinal examination of the links between choices and beliefs.

TL;DR: Results indicated youths' math and science activity participation predicted their expectancies and values, which, in turn, predicted the number of high school courses above the predictive power of grades.
Journal ArticleDOI

Achievement in Math and Science: Do Mothers' Beliefs Matter 12 Years Later?.

TL;DR: The authors examined the longitudinal relation between mothers' earlier gender stereotypes and perceptions and adolescents' later math-science achievement beliefs and career choices, and found that mothers' early perceptions of their adolescents' abilities were related to adolescents' math science self-efficacy 2 years after high school, with adolescents' self-perceptions of math ability mediating the relation with mothers' perceptions.
References
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Book

Structural Equations with Latent Variables

TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Book

Social Foundations of Thought and Action: A Social Cognitive Theory

TL;DR: In this paper, models of Human Nature and Casualty are used to model human nature and human health, and a set of self-regulatory mechanisms are proposed. But they do not consider the role of cognitive regulators.
Journal ArticleDOI

Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice, and Performance

TL;DR: In this article, the authors present a social cognitive framework for understanding three intricately linked aspects of career development: (a) the formation and elaboration of career-relevant interests, (b) selection of academic and career choice options, and (c) performance and persistence in educational and occupational pursuits.
Book

Multiple regression in behavioral research

TL;DR: Kerlinger and Pedhazur as discussed by the authors present the three main applied analytical models which derive from the general linear hypothesis-analysis of variance, regression, and analysis of covariance.
Journal ArticleDOI

Multiple Regression in Behavioral Research.

TL;DR: Kerlinger and Pedhazur as discussed by the authors present the three main applied analytical models which derive from the general linear hypothesis-analysis of variance, regression, and analysis of covariance.
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How does integrating math and science affect career opportunities?

Integrating math and science can positively affect career opportunities, particularly for women in science, math, and technology fields.