Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Descriptor
Behavioral Science Research | 1 |
Computation | 1 |
Factor Analysis | 1 |
Hierarchical Linear Modeling | 1 |
Matrices | 1 |
Multivariate Analysis | 1 |
Source
Grantee Submission | 1 |
Author
Bauer, Daniel J. | 1 |
McNeish, Daniel | 1 |
Publication Type
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
McNeish, Daniel; Bauer, Daniel J. – Grantee Submission, 2020
Deciding which random effects to retain is a central decision in mixed effect models. Recent recommendations advise a maximal structure whereby all theoretically relevant random effects are retained. Nonetheless, including many random effects often leads to nonpositive definiteness. A typical remedy is to simplify the random effect structure by…
Descriptors: Multivariate Analysis, Hierarchical Linear Modeling, Factor Analysis, Matrices