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Journal ArticleDOI

Why Students Choose STEM Majors Motivation, High School Learning, and Postsecondary Context of Support

Xueli Wang
- 01 Oct 2013 - 
- Vol. 50, Iss: 5, pp 1081-1121
TLDR
In this article, a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions was proposed.
Abstract
This study draws upon social cognitive career theory and higher education literature to test a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions. Results suggest that choosing a STEM major is directly influenced by intent to major in STEM, high school math achievement, and initial postsecondary experiences, such as academic interaction and financial aid receipt. Exerting the largest impact on STEM entrance, intent to major in STEM is directly affected by 12th-grade math achievement, exposure to math and science courses, and math self-efficacy beliefs—all three subject to the influence of early achievement in and attitudes toward math. Multiple-group structural equation modeling analyses indicated heterogeneous effects of math achievement and exposure to math and science across racial groups, with their positive impact on STEM intent accruing most to White students and least ...

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Citations
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Journal ArticleDOI

Gender Gap Among High Achievers in Math and Implications for STEM Pipeline

TL;DR: In this article, the authors examined the mathematics gender gap among 15-year-old high achievers across ten countries/regions and found that a consistent male advantage among the top performers in mathematics was associated with some socio-demographic and schooling/attitudinal variables.
Journal ArticleDOI

Parents’ Beliefs about High School Students’ Spatial Abilities: Gender Differences and Associations with Parent Encouragement to Pursue a STEM Career and Students’ STEM Career Intentions

TL;DR: This article found that parents of young men thought their child had higher mental manipulation and navigation abilities than did parents of women, even after statistically controlling for adolescents' actual spatial abilities, and that these beliefs related to parents' encouragement of their child to pursue a STEM career as well as students' actual STEM major and career intentions.
Journal ArticleDOI

College Students’ Understanding of Fraction Operations

TL;DR: The authors investigated college students' understanding of arithmetic fraction operations as defined by the Common Core State Standards in grades three through six Mathematics and found that college students have the same misunderstandings and misconceptions as elementary students in regards to fraction operations.
Journal ArticleDOI

Development and application of a scale to measure students’ STEM continuing motivation

TL;DR: In this article, the authors developed a scale to measure students' STEM continuing motivation (CM) in accordance with the conceptualisation of CM by Maehr (1976) and developed a method to measure student's STEM continued motivation in the classroom.
References
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Book

Principles and Practice of Structural Equation Modeling

TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Book

Structural Equation Modeling With Mplus: Basic Concepts, Applications, And Programming

TL;DR: Structural Equation Models: The Basics using the EQS Program and testing for Construct Validity: The Multitrait-Multimethod Model and Change Over Time: The Latent Growth Curve Model.
Book

Structural equation modeling with AMOS: basic concepts, applications, and programming

TL;DR: In this article, the EQS program is used to test the factorial verifiability of a theoretical construct and its invariance to a Causal Structure using the First-Order CFA model.
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

Power analysis and determination of sample size for covariance structure modeling.

TL;DR: In this article, a framework for hypothesis testing and power analysis in the assessment of fit of covariance structure models is presented, where the value of confidence intervals for fit indices is emphasized.
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