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5 posts found.

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Analysis Methods » Factor Analysis
Factor Analysis
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A Path Analysis of Student Interest in STEM, with Specific Reference to Qatari Students

(1) What factors influence students’ interest in STEM fields of study or work? (2) Are there any significant differences in students’ responses with respect to their gender? (3) Are there any significant differences in students’ responses with respect to their grade level?

Understanding the Changing Dynamics of the Gender Gap in Undergraduate Engineering Majors: 1971-2011

This paper examines the level and determinants of students’ plans to major in engineering when entering college. (1) How has the gender gap in incoming college students’ intent to major in engineering changed over the past 4 decades? (2) What are the determinants of women’s and men’s decision to major in engineering versus all other fields? To what extent have these determinants and/or their salience changed over time for women and men? (3) To what extent is the gender gap in the selection of engineering due to (a) gender differences in attributes, versus (b) gender differences in the salience of these attributes? How has this changed over time?

Impacts of Intersection Between Social Capital and Finances on Community College Students' Pursuit of STEM Degrees

1) How can the constructs of social/cultural capital and financial constraints be measured? 2) How do the intersection of social capital and financial constraints impact community college students’ pursuit of STEM degrees through transfer? 3) Identify the factors related to social and cultural capital, finances, and external factors that pull students away from their studies.

Feeling the Threat: Stereotype Threat as a Contextual Barrier to Women's Science Career Choice Intentions

The goal of the current project was to examine the influence of a proximal contextual barrier, stereotype threat, as a predictor of STEM career outcomes for women within the SCCT framework.

Profiles of Urban, Low SES, African American Girls' Attitudes Toward Science: A Sequential Explanatory Mixed Methods Study

What are the urban, low SES, African American girls’ attitudes toward science and science
learning? What aspects of their experiences and understandings contribute to differences in attitudes?

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