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Tara Slominski; Oluwatobi O. Odeleye; Jacob W. Wainman; Lisa L. Walsh; Karen Nylund-Gibson; Marsha Ing – CBE - Life Sciences Education, 2024
Mixture modeling is a latent variable (i.e., a variable that cannot be measured directly) approach to quantitatively represent unobserved subpopulations within an overall population. It includes a range of cross-sectional (such as latent class [LCA] or latent profile analysis) and longitudinal (such as latent transition analysis) analyses and is…
Descriptors: Educational Research, Multivariate Analysis, Research Methodology, Hierarchical Linear Modeling
Ben Van Dusen; Heidi Cian; Jayson Nissen; Lucy Arellano; Adrienne D. Woods – Sociology of Education, 2024
This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…
Descriptors: Educational Research, Intersectionality, Critical Race Theory, STEM Education
Kathy L. Malone; Anita Schuchardt – European Journal of Science and Mathematics Education, 2023
Due to the increased use of scientific models and modelling in K-12 education, there is a need to uncover its effects on students over time. Prior research has shown that the use of scientific modelling in K-12 classes is associated with improved conceptual knowledge and problem-solving skills. However, few studies have explicitly tested the…
Descriptors: STEM Education, Hierarchical Linear Modeling, Modeling (Psychology), Teaching Methods
Chine, Danielle R.; Larwin, Karen H. – International Journal of Research in Education and Science, 2022
Hierarchical linear modeling (HLM) has become an increasingly popular multilevel method of analyzing data among nested datasets, in particular, the effect of specialized academic programming within schools. The purpose of this methodological study is to demonstrate the use of HLM to determine the effectiveness of STEM programming in an Ohio middle…
Descriptors: Middle Schools, STEM Education, Instructional Effectiveness, Program Development
Garibay, Juan C. – Research in Higher Education, 2018
Despite the importance of preparing socially responsible graduates in science, technology, engineering, and mathematics (STEM) to address the current state of poverty and inequality, very few studies in higher education have examined the development of STEM students' outcomes critical to promoting a more equitable society, typically focusing on…
Descriptors: STEM Education, Predictor Variables, Social Change, Undergraduate Students
Peralta, Yadira; Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Moore, Tamara J. – Educational Research Quarterly, 2018
Variance heterogeneity is a common feature of educational data when treatment differences expressed through means are present, and often reflects a treatment by subject interaction with respect to an outcome variable. Identifying variables that account for this interaction can enhance understanding of whom a treatment does and does not benefit in…
Descriptors: Educational Research, Hierarchical Linear Modeling, Engineering, Design
Richardson, Ken; Clark, Zaramasina; Gaines, Michael; Kingi, Hautahi; Miller, Sonja; Pearson, Willie, Jr.; Richardson, Liz – CBE - Life Sciences Education, 2018
Maori and Pacific students generally do not attain the same levels of tertiary success as New Zealanders of European descent, particularly in science, technology, engineering, and mathematics (STEM) subjects. Te Ropu Awhina (Awhina), an equity initiative at Victoria University of Wellington in New Zealand between 1999 and 2015, aimed to produce…
Descriptors: Bayesian Statistics, Pacific Islanders, Ethnic Groups, STEM Education
Bicer, Ali; Capraro, Robert M.; Capraro, Mary M. – International Journal of Mathematical Education in Science and Technology, 2018
The purpose of this paper is to demonstrate Hispanic students' mathematics achievement growth rate in Inclusive science, technology, engineering, and mathematics (STEM) high schools compared to Hispanic students' mathematics achievement growth rate in traditional public schools. Twenty-eight schools, 14 of which were Texas STEM (T-STEM) academies…
Descriptors: Hispanic American Students, STEM Education, Mathematics Achievement, Achievement Gains
LaSota, Robin R.; Zumeta, William – Research in Higher Education, 2016
This research uses the nationally representative Beginning Postsecondary Study: 2003-2009 to investigate the relative significance in upward transfer of individual and institutional factors for different groups of students, considering their state policy contexts of variable support for improved articulation and transfer between 2-year and…
Descriptors: Community Colleges, Transfer Policy, Hierarchical Linear Modeling, State Policy
Han, Seong Won – Educational Research and Evaluation, 2016
Students' science-related career expectations are important for predicting their future science, technology, engineering, and mathematics (STEM)-related educational and occupational attainments. This study examines the degree to which standards-based external examinations are associated with a student's propensity for pursuing science-related…
Descriptors: Occupational Aspiration, Expectation, STEM Education, Science Careers
Shoraka, Mohammad; Arnold, Robert; Kim, Eun Sook; Salinitri, Geri; Kromrey, Jeffrey – Alberta Journal of Educational Research, 2015
One of the most salient problems in education is the achievement gap. The researchers investigated the effects of parental education and parental occupations in science, technology, engineering, mathematics, or medical professions (STEMM) on the achievement gap in mathematics. Because students were nested within schools, two-level Hierarchical…
Descriptors: Parent Background, Achievement Gap, Mathematics Education, Career Choice
Nissen, Jayson M.; Jariwala, Manher; Close, Eleanor W.; Van Dusen, Ben – International Journal of STEM Education, 2018
Background: High-stakes assessments, such the Graduate Records Examination, have transitioned from paper to computer administration. Low-stakes research-based assessments (RBAs), such as the Force Concept Inventory, have only recently begun this transition to computer administration with online services. These online services can simplify…
Descriptors: Research Design, College Students, Science Instruction, Physics
Atadero, Rebecca A.; Paguyo, Christina H.; Rambo-Hernandez, Karen E.; Henderson, Heather L. – European Journal of Engineering Education, 2018
Ongoing efforts to broaden the participation of women and people of colour in engineering degree programmes and careers have had limited success. This paper describes a different approach to broadening participation that seeks to work with all students and develop inclusive engineering identities. Researchers worked with the instructors of two…
Descriptors: Engineering Education, Hierarchical Linear Modeling, College Freshmen, Disproportionate Representation
North, Elizabeth A.; Ryan, Allison M. – Journal of Early Adolescence, 2018
This study examines the nature and implications of peer academic reputations in math and science classes for early adolescents' achievement beliefs and behaviors. The sample was 840 students (51% girls; 36% African American, 47% European American, 7% Latino, 6% Asian American, and 3% Other). About half the sample (47%) was from 27 fifth-grade…
Descriptors: Correlation, Academic Achievement, Science Achievement, Mathematics Achievement
Han, Seong Won – Journal of Education and Work, 2017
This study examines the degree of association between students' STEM occupational expectations and between-country differences in public attitudes toward science and technology (S&T). This study focuses on public attitudes among two different populations: students and adults. Three-level Hierarchical Generalised Linear Models are employed to…
Descriptors: STEM Education, Career Choice, High School Students, Public Opinion