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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Journal ArticleDOI
Warum wählen Männer und Frauen unterschiedliche Studienfächer
Anna Erika Hägglund,Markus Lörz +1 more
TL;DR: In this article, a multinominalen logistischen Regressions-and Dekompositionsanalysen are used to evaluate the geschlechtsspezifischen Unterschiede hauptsächlich aus vorgelagerten Bildungsentscheidungen.
Journal ArticleDOI
Building Readiness and Intention towards STEM Fields of Study: Using HSLS:09 and SEM to Examine This Complex Process among High School Students.
TL;DR: In this paper, a model seeking to understand STEM readiness and intention to pursue STEM was proposed, based on Social Cognitive Career Theory and Xueli Wang's conceptual model of STEM choice.
Journal ArticleDOI
Do Relative Advantages in STEM Grades Explain the Gender Gap in Selection of a STEM Major in College? A Multimethod Answer:
Elizabeth Stearns,Martha Cecilia Bottia,Jason Giersch,Roslyn Arlin Mickelson,Stephanie Moller,Nandan Jha,Melissa H. Dancy +6 more
TL;DR: Using a multimethod approach, this paper investigated whether gender gaps in STEM major declarations in college are explained by differences in the grades of the students' major declaration in science, technology, engineering, and mathematics.
Journal ArticleDOI
Modeling Student Pathways in a Physics Bachelor's Degree Program.
TL;DR: This paper used a machine learning model to compare traditional statistical analysis to a more modern modeling approach, and found that students who switch from a physics degree program to an engineering degree program do not take the third semester course in thermodynamics and modern physics, and may take engineering courses while registered as a physics major.
Journal ArticleDOI
Nine years of online mentoring for secondary school girls in STEM: an empirical comparison of three mentoring formats
Heidrun Stoeger,Michael Heilemann,Tobias Debatin,Manuel D. S. Hopp,Sigrun Schirner,Albert Ziegler +5 more
TL;DR: Overall, all formats effected comparable increases in mentees’ STEM activities and certainty about career plans, however, mentees' communication behavior and networking behavior on the mentoring platform differed between the three formats.
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.