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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

Biomedical science students’ intended graduate destinations

TL;DR: In this paper, the intended graduate destinations of students, the reasons they chose to study science and the perceived value of the skills they are acquiring for their intended profession were evaluated, with three-quarters of students mentioning one intended profession, with the remainder mentioning two or more.
Journal ArticleDOI

Quantitative Literacy in the Affective Domain: Computational Geology Students’ Reactions to Devlin’s The Math Instinct

Victor J. Ricchezza, +1 more
- 01 Jul 2017 - 
TL;DR: The Math Instinct by Keith Devlin was chosen by as mentioned in this paper to give the students something interesting to write about and not because we had any expectations in particular about what it might reveal about or do for their math anxiety.
Journal ArticleDOI

Examining the influence of a STEM certification model on female, minority science outcomes

TL;DR: The authors examined the influence of the Georgia science, technology, engineering, and mathematics (STEM) model; gender; race; and other achievement on elementary school students. But, they focused on the Georgia Science, Technology, Engineering, and Mathematics (STEM) model.
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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