DOIAbstract
repeated measures, growth curve analysis, longitudinal data, multilevel analysis, hierarchical linear model, hierarchical data,
repeated measures, growth curve analysis, longitudinal data, multilevel analysis, hierarchical linear model, hierarchical data,
The power properties of traditional repeated measures and hierarchical linear models have not been c...
The growth in the availability of longitudinal data—data collected over time on the same individuals...
A general model is developed for the analysis of multivariate multilevel data structures. Special ca...
Repeated measures and repeated events data have a hierarchical structure which can be analysed using...
Abstract. Repeated measurements often are analyzed by multivariate analysis of variance (MAN-OVA). A...
The hierarchical linear model in a linear model with nested random coefficients, fruitfully used for...
The hierarchical linear model in a linear model with nested random coefficients, fruitfully used for...
The hierarchical linear model in a linear model with nested random coefficients, fruitfully used for...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Longitudinal panel data examples are used to illustrate estimation methods for individual growth cur...
Repeated measures and repeated events data have a hierarchical structure which can be analysed by us...
Longitudinal panel data examples are used to illustrate estimation methods for individual growth cur...
Analyzing multilevel data: An empirical comparison of parameter estimates of hierarchical linear mod...
Abstract Purpose This paper aims to discuss multilevel modeling for longitudinal data, clarifying ...
The power properties of traditional repeated measures and hierarchical linear models have not been c...
The growth in the availability of longitudinal data—data collected over time on the same individuals...
A general model is developed for the analysis of multivariate multilevel data structures. Special ca...
Repeated measures and repeated events data have a hierarchical structure which can be analysed using...
Abstract. Repeated measurements often are analyzed by multivariate analysis of variance (MAN-OVA). A...
The hierarchical linear model in a linear model with nested random coefficients, fruitfully used for...
The hierarchical linear model in a linear model with nested random coefficients, fruitfully used for...
The hierarchical linear model in a linear model with nested random coefficients, fruitfully used for...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Longitudinal panel data examples are used to illustrate estimation methods for individual growth cur...
Repeated measures and repeated events data have a hierarchical structure which can be analysed by us...
Longitudinal panel data examples are used to illustrate estimation methods for individual growth cur...
Analyzing multilevel data: An empirical comparison of parameter estimates of hierarchical linear mod...
Abstract Purpose This paper aims to discuss multilevel modeling for longitudinal data, clarifying ...
The power properties of traditional repeated measures and hierarchical linear models have not been c...
The growth in the availability of longitudinal data—data collected over time on the same individuals...
A general model is developed for the analysis of multivariate multilevel data structures. Special ca...
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