Multilevel Modeling in Plain Language
Product Description
Multilevel Modeling in Plain Language
Have you been told you need to do multilevel modeling, but you can't get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense?
Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated.Â
This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
Technical Specifications
You might also like
Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling
Multilevel Modeling (Quantitative Applications in the Social Sciences)
Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition
Fixed Effects Regression Models (Quantitative Applications in the Social Sciences)
Principles and Practice of Structural Equation Modeling, Fourth Edition (Methodology in the Social Sciences)
Multilevel and Longitudinal Modeling with IBM SPSS (Quantitative Methodology Series)
Data Analysis Using Regression and Multilevel/Hierarchical Models
Multilevel Analysis: Techniques and Applications, Second Edition (Quantitative Methodology Series)
Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences)
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence