Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 1 |
| Children | 1 |
| Comparative Analysis | 1 |
| Computation | 1 |
| Growth Models | 1 |
| Intelligence Tests | 1 |
| Longitudinal Studies | 1 |
| Probability | 1 |
| Statistical Analysis | 1 |
| Statistical Distributions | 1 |
| Surveys | 1 |
| More ▼ | |
Source
| Grantee Submission | 1 |
Publication Type
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 1 |
| Wechsler Intelligence Scale… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textLiu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
