
- 160 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Multilevel Modeling in Plain Language
About this book
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.
This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
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Information
Table of contents
- Cover
- Half Title
- Publisher Note
- Title Page
- Copyright Page
- Contents
- About the Authors
- ONE What Is Multilevel Modeling and Why Should I Use It?
- TWO Random Intercept Models: When intercepts vary
- Three Random Coefficient Models: When intercepts and coefficients vary
- Four Communicating Results to a Wider Audience
- References
- Index
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