Journal ArticleDOI
Why Students Choose STEM Majors Motivation, High School Learning, and Postsecondary Context of Support
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 ...read more
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Proceedings ArticleDOI
'I Make, Therefore I Am': The Effects of Curriculum-Aligned Making on Children's Self-Identity
TL;DR: A longitudinal study that investigates the effects of Making on children's degree of science self-efficacy, identity formation as possible scientists and engineers, and academic performance in science.
Journal ArticleDOI
A Low-Intensity, Hybrid Design between a "Traditional" and a "Course-Based" Research Experience Yields Positive Outcomes for Science Undergraduate Freshmen and Shows Potential for Large-Scale Application.
TL;DR: The efficient and broadly applicable STEMCats Research Experience (SRE) is reported and, based on the analysis of institutional data and student perceptions, promising student outcomes from its first iteration are reported.
Journal ArticleDOI
Black engineering students’ motivation for PhD attainment: passion plus purpose
Ebony O. McGee,Devin T. White,Akailah T. Jenkins,Stacey L. Houston,Lydia Bentley,William J. Smith,William H. Robinson +6 more
TL;DR: In this paper, the authors used an intrinsic and extrinsic motivational framework to investigate the inspiration of 44 Black engineering doctoral students in PhD engineering programs in 11 engineering schools across the country, finding that participants' motivation to pursue a PhD in engineering comes from several distinct factors, including an unyielding passion for their particular discipline, a sense of responsibility to serve marginalized peoples and society, a path toward autonomy, pre-PhD mentorship and research opportunities and family and prior work experience.
Journal ArticleDOI
Pathways from parental stimulation of children’s curiosity to high school science course accomplishments and science career interest and skill
Adele Eskeles Gottfried,Kathleen S. J. Preston,Allen W. Gottfried,Pamella H. Oliver,Danielle E. Delany,Sirena M. Ibrahim +5 more
TL;DR: In this paper, a longitudinal study examined pathways from parental stimulation of children's curiosity per se to their science acquisition (SA) through inter-related variables of high school science course accomplishments, career interest, and skill.
Journal ArticleDOI
STEM Pathways: Do Men and Women Differ in Why They Enter and Exit?:
TL;DR: Although there is no singular pathway into STEM fields, self-driven interest is a large factor in persistence, especially for males, and females rely more heavily on support from others.
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.