Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Author
| Aiken, Leona S. | 1 |
| Cham, Heining | 1 |
| Ghisletta, Paolo | 1 |
| Jackman, M. Grace-Anne | 1 |
| Jin, Rong | 1 |
| Leite, Walter L. | 1 |
| Ma, Yue | 1 |
| MacInnes, Jann W. | 1 |
| McArdle, John J. | 1 |
| Sandbach, Robert | 1 |
| West, Stephen G. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
Education Level
| Elementary Education | 3 |
| Grade 5 | 3 |
| Grade 1 | 2 |
| Grade 3 | 2 |
| Early Childhood Education | 1 |
| Grade 2 | 1 |
| Grade 4 | 1 |
| Intermediate Grades | 1 |
| Preschool Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 1 |
| Wechsler Intelligence Scale… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGhisletta, Paolo; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R…
Descriptors: Statistical Analysis, Structural Equation Models, Computation, Computer Software
Leite, Walter L.; Sandbach, Robert; Jin, Rong; MacInnes, Jann W.; Jackman, M. Grace-Anne – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Because random assignment is not possible in observational studies, estimates of treatment effects might be biased due to selection on observable and unobservable variables. To strengthen causal inference in longitudinal observational studies of multiple treatments, we present 4 latent growth models for propensity score matched groups, and…
Descriptors: Structural Equation Models, Probability, Computation, Observation
Cham, Heining; West, Stephen G.; Ma, Yue; Aiken, Leona S. – Multivariate Behavioral Research, 2012
A Monte Carlo simulation was conducted to investigate the robustness of 4 latent variable interaction modeling approaches (Constrained Product Indicator [CPI], Generalized Appended Product Indicator [GAPI], Unconstrained Product Indicator [UPI], and Latent Moderated Structural Equations [LMS]) under high degrees of nonnormality of the observed…
Descriptors: Monte Carlo Methods, Computation, Robustness (Statistics), Structural Equation Models
