Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Software | 2 |
| Child Development | 1 |
| Computation | 1 |
| Effect Size | 1 |
| Error Patterns | 1 |
| Evaluation Methods | 1 |
| Intervals | 1 |
| Kindergarten | 1 |
| Longitudinal Studies | 1 |
| Measurement Techniques | 1 |
| Models | 1 |
| More ▼ | |
Source
| Multivariate Behavioral… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGrimm, Kevin J.; Ram, Nilam; Estabrook, Ryne – Multivariate Behavioral Research, 2010
Growth mixture models (GMMs; B. O. Muthen & Muthen, 2000; B. O. Muthen & Shedden, 1999) are a combination of latent curve models (LCMs) and finite mixture models to examine the existence of latent classes that follow distinct developmental patterns. GMMs are often fit with linear, latent basis, multiphase, or polynomial change models…
Descriptors: Models, Computer Software, Programming, Statistical Analysis
Choi, Jaehwa; Fan, Weihua; Hancock, Gregory R. – Multivariate Behavioral Research, 2009
This note suggests delta method implementations for deriving confidence intervals for a latent mean effect size measure for the case of 2 independent populations. A hypothetical kindergarten reading example using these implementations is provided, as is supporting LISREL syntax. (Contains 1 table.)
Descriptors: Intervals, Syntax, Effect Size, Evaluation Methods
