Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Classification | 1 |
| Equations (Mathematics) | 1 |
| Growth Models | 1 |
| Posttraumatic Stress Disorder | 1 |
| Sample Size | 1 |
| Statistical Analysis | 1 |
Source
| Grantee Submission | 1 |
Author
| Daniel J. Bauer | 1 |
| Daniel McNeish | 1 |
| Jeffrey R. Harring | 1 |
Publication Type
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Daniel McNeish; Jeffrey R. Harring; Daniel J. Bauer – Grantee Submission, 2022
Growth mixture models (GMMs) are a popular method to identify latent classes of growth trajectories. One shortcoming of GMMs is nonconvergence, which often leads researchers to apply covariance equality constraints to simplify estimation, though this may be a dubious assumption. Alternative model specifications have been proposed to reduce…
Descriptors: Growth Models, Classification, Accuracy, Sample Size

Peer reviewed
Direct link
