Add to ORKGWhat is multilevel modelling? - Varying relations and random effects: Theory - Varying relations and random effects: A Demonstrationusing MLwiN - using the software - Variance Functions - Logit Models- Using MCMC estimation (including Spatial Models) - Resources for Going Furthe
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Multilevel modeling has become a common analytic technique across a variety of disciplines including...
Multilevel analysis (or multilevel model), also known by names such as hierarchical linear model (HL...
Purpose – This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circu...
This book provides a clear introduction to this important area of statistics. The author provides a ...
textDue to the inherently hierarchical nature of many natural phenomena, data collected rests in ne...
Many phenomena in marketing involve multiple levels of theory and analysis. Adopting a multilevel le...
This chapter provides models for repeated measures and multivariate data. It also introduces structu...
The multilevel models allow to analyse the data variation simultaneously at the different levels1. A...
In multilevel modelling, interest in modeling the nested structure of hierarchical data has been acc...
This video introduces variance components and random intercept models. Contextual effects are also b...
Abstract. In multilevel modelling, the residual variation in a response variable is split into compo...
We introduce General Multilevel Models and discuss the estimation procedures that may be used to fit...
This thesis presents a longitudinal study of undergraduate achievement within a modular first degree...
within schools, voters within districts, or workers within firms, to name a few exam-ples. Statistic...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Multilevel modeling has become a common analytic technique across a variety of disciplines including...
Multilevel analysis (or multilevel model), also known by names such as hierarchical linear model (HL...
Purpose – This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circu...
This book provides a clear introduction to this important area of statistics. The author provides a ...
textDue to the inherently hierarchical nature of many natural phenomena, data collected rests in ne...
Many phenomena in marketing involve multiple levels of theory and analysis. Adopting a multilevel le...
This chapter provides models for repeated measures and multivariate data. It also introduces structu...
The multilevel models allow to analyse the data variation simultaneously at the different levels1. A...
In multilevel modelling, interest in modeling the nested structure of hierarchical data has been acc...
This video introduces variance components and random intercept models. Contextual effects are also b...
Abstract. In multilevel modelling, the residual variation in a response variable is split into compo...
We introduce General Multilevel Models and discuss the estimation procedures that may be used to fit...
This thesis presents a longitudinal study of undergraduate achievement within a modular first degree...
within schools, voters within districts, or workers within firms, to name a few exam-ples. Statistic...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Multilevel modeling has become a common analytic technique across a variety of disciplines including...
Multilevel analysis (or multilevel model), also known by names such as hierarchical linear model (HL...