Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 4 |
Descriptor
Growth Models | 4 |
Statistical Analysis | 4 |
Structural Equation Models | 4 |
Computation | 2 |
Adolescents | 1 |
Computer Software | 1 |
Correlation | 1 |
Crime | 1 |
Curriculum Based Assessment | 1 |
Effect Size | 1 |
Equations (Mathematics) | 1 |
More ▼ |
Source
AERA Online Paper Repository | 1 |
Journal of Experimental… | 1 |
National Center on Assessment… | 1 |
Structural Equation Modeling:… | 1 |
Author
Daniel Seddig | 1 |
Kim, Minjung | 1 |
Kwok, Oi-Man | 1 |
Lai, Mark H. C. | 1 |
Lee, Kejin | 1 |
Nese, Joseph F. T. | 1 |
Whittaker, Tiffany Ann | 1 |
Willson, Victor | 1 |
Yoon, Myeongsun | 1 |
Publication Type
Reports - Research | 4 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Daniel Seddig – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…
Descriptors: Growth Models, Statistical Analysis, Structural Equation Models, Crime
Lee, Kejin; Whittaker, Tiffany Ann – AERA Online Paper Repository, 2017
The latent growth model (LGM) in structural equation modeling (SEM) may be extended to allow for the modeling of associations among multiple latent growth trajectories, resulting in a multiple domain latent growth model (MDLGM). While the MDLGM is conceived as a more powerful multivariate analysis technique, the examination of its methodological…
Descriptors: Statistical Analysis, Growth Models, Structural Equation Models, Multivariate Analysis
Kim, Minjung; Kwok, Oi-Man; Yoon, Myeongsun; Willson, Victor; Lai, Mark H. C. – Journal of Experimental Education, 2016
This study investigated the optimal strategy for model specification search under the latent growth modeling (LGM) framework, specifically on searching for the correct polynomial mean or average growth model when there is no a priori hypothesized model in the absence of theory. In this simulation study, the effectiveness of different starting…
Descriptors: Statistical Analysis, Growth Models, Simulation, Structural Equation Models
Nese, Joseph F. T. – National Center on Assessment and Accountability for Special Education, 2013
Curriculum-based measurement (CBM) is a system of assessment used to screen for students at risk for poor learning. CBM benchmark screening assessments are typically administered to all students in the fall, winter, and spring, and these data are frequently used by researchers to model and perhaps explain within-year growth. Modeling growth with…
Descriptors: Curriculum Based Assessment, Statistical Analysis, Growth Models, Structural Equation Models