NotesFAQContact Us
Collection
Advanced
Search Tips
Descriptor
Hypothesis Testing1
Longitudinal Studies1
Maximum Likelihood Statistics1
Source
Structural Equation Modeling1
Author
Raykov, Tenko1
Publication Type
Journal Articles1
Reports - Evaluative1
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing one result Save | Export
Analysis of Longitudinal Studies With Missing Data Using Covariance Structure Modeling With Full-Information Maximum Likelihood
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko – Structural Equation Modeling, 2005
A didactic discussion of covariance structure modeling in longitudinal studies with missing data is presented. Use of the full-information maximum likelihood method is considered for model fitting, parameter estimation, and hypothesis testing purposes, particularly when interested in patterns of temporal change as well as its covariates and…
Descriptors: Longitudinal Studies, Hypothesis Testing, Maximum Likelihood Statistics