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
The effect of a middle grades STEM initiative on students’ cognitive and non-cognitive outcomes
TL;DR: In this article, an evaluation of a STEM initiative in one school district with five participating middle schools is presented. And they used two quasi-experimental methods including instrumental variables and inverse propensity score weights to test the effect of the initiative on students' cognitive and non-cognitive outcomes.
Journal Article
Can Scientific Reasoning Scores Predict the Likelihood of SBAE Students' Intent to Pursue a STEM Career, a Career in Agriculture, or Plan to Attend College?.
TL;DR: This article used the scientific reasoning scores from 663 students enrolled nationwide in school-based agricultural education programs (SBAE) to predict students' likelihood to indicate plans to pursue a career in agriculture, STEM or plan to attend college.
Proceedings ArticleDOI
Inconsistent gender differences in self-efficacy and performance for engineering majors in physics and other disciplines: A cause for alarm?
Kyle M. Whitcomb,Z. Yasemin Kalender,Timothy J. Nokes-Malach,Christian D. Schunn,Chandralekha Singh +4 more
TL;DR: In this paper, the authors analyzed undergraduate engineering students' physics, mathematics, engineering, and chemistry grades using large-scale institutional data and their self-reported self-efficacy using a validated survey in each of these disciplines to examine gender differences in engineering students’ selfefficacy and course grades.
Journal ArticleDOI
Using the lens of science capital to capture and explore children’s attitudes toward science in an informal making-based space
TL;DR: The authors used the framework of science capital to understand what shapes young people's engagement with or resistance to science and found that children who are more exposed to science-related activities and contexts are more likely to have higher self-efficacy, and that those with higher prior coding experience scored higher in their selfefficacy and science capital.
Journal ArticleDOI
Science Graduate Students’ Reports of Discrimination Due to Gender, Race, and Religion: Identifying Shared and Unique Predictors:
TL;DR: In this article, students from underrepresented groups face numerous challenges during their scientific education and training, including discrimination, and their experiences with discrediting during their training and education are investigated.
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.