Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
Descriptor
Author
| Adrienne D. Woods | 1 |
| Ben Van Dusen | 1 |
| Heidi Cian | 1 |
| Jacob W. Wainman | 1 |
| Jayson Nissen | 1 |
| Karen Nylund-Gibson | 1 |
| Lisa L. Walsh | 1 |
| Lucy Arellano | 1 |
| Marsha Ing | 1 |
| Oluwatobi O. Odeleye | 1 |
| Tara Slominski | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkTara 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
