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) | 2 |
Descriptor
| Hierarchical Linear Modeling | 2 |
| Longitudinal Studies | 2 |
| Academic Achievement | 1 |
| Children | 1 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| Factor Analysis | 1 |
| Goodness of Fit | 1 |
| Grade 1 | 1 |
| Kindergarten | 1 |
| Models | 1 |
| More ▼ | |
Source
| Journal of Educational and… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 1 | 1 |
| Kindergarten | 1 |
| Primary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Early Childhood Longitudinal… | 2 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkStapleton, Laura M.; Yang, Ji Seung; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2016
We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases,…
Descriptors: Multivariate Analysis, Factor Analysis, Validity, Models
Luo, Wen; Azen, Razia – Journal of Educational and Behavioral Statistics, 2013
Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…
Descriptors: Predictor Variables, Hierarchical Linear Modeling, Statistical Analysis, Regression (Statistics)
