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
Citations
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Journal ArticleDOI
Accelerating Change: The Power of Faculty Change Agents to Promote Diversity and Inclusive Teaching Practices.
R. Heather Macdonald,Rachel J. Beane,Eric M.D. Baer,Pamela L. Eddy,Norlene R. Emerson,Jan Hodder,Ellen Iverson,John R. McDaris,Kristin O'Connell,Carol J. Ormand +9 more
TL;DR: In this article, the authors argue that faculty play an important role in attracting students to the geosciences, helping them to thrive in geoscience programs, and preparing them for careers.
Journal ArticleDOI
Collective Effects of Individual, Behavioral, and Contextual Factors on High School Students’ Future STEM Career Plans
TL;DR: In this article, the authors investigate how students' high school experience, math and science efficacy, and student, parent, and teacher expectations affect their plans for college major choice after controlling for students' gender, ethnicity, and parental variables.
Journal ArticleDOI
Student–Faculty Interaction and Discrimination from Faculty in STEM: The Link with Retention
TL;DR: In this article, the authors used hierarchical generalized linear modeling to investigate various types of student-faculty interaction in Science, Technology, Engineering, and Math (STEM) and in particular, the link between discrimination from faculty and retention in STEM.
Journal ArticleDOI
Preparing Science Undergraduates for a Teaching Career: Sources of Their Teacher Self-Efficacy
TL;DR: One of the causes of the science teacher shortage is the low enrollment in science teacher education in the Netherlands as discussed by the authors, where science undergraduates can enroll in a half-year teaching course.
Proceedings Article
Predicting STEM and Non-STEM College Major Enrollment from Middle School Interaction with Mathematics Educational Software.
TL;DR: This paper develops a model that can successfully distinguish 66% of the time if a student will choose a STEM major or a non-STEM major when they enter college, and offers steps towards providing educators with more actionable information on the STEM trajectories of individual students.
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.