Descriptor
Bayesian Statistics | 1 |
Computer Simulation | 1 |
Computer Software | 1 |
Data Analysis | 1 |
Factor Analysis | 1 |
Item Response Theory | 1 |
Mathematical Models | 1 |
Monte Carlo Methods | 1 |
Source
Journal of Educational and… | 1 |
Author
Segawa, Eisuke | 1 |
Publication Type
Journal Articles | 1 |
Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Segawa, Eisuke – Journal of Educational and Behavioral Statistics, 2005
Multi-indicator growth models were formulated as special three-level hierarchical generalized linear models to analyze growth of a trait latent variable measured by ordinal items. Items are nested within a time-point, and time-points are nested within subject. These models are special because they include factor analytic structure. This model can…
Descriptors: Bayesian Statistics, Mathematical Models, Factor Analysis, Computer Simulation