Multilevel Model Foundations

This book introduces the foundations of multilevel models, using Monopoly® rent data from the classic board game, and the statistical program Stata®. Widespread experience with the game means many readers have a head start on understanding these models.

Autorentext

Ralph B. Taylor is Professor Emeritus of Criminal Justice at Temple University, USA, and a fellow of the American Society of Criminology. He holds a Ph.D. in Social Psychology from Johns Hopkins University and has authored or co-authored over 90 refereed journal articles in criminal justice, criminology, social psychology, sociology, public health, urban affairs, and law and human behaviour. His externally funded research has been supported by the National Science Foundation, the National Institute of Mental Health, the National Institute of Justice, and other sources. He has previously served on the editorial boards of Criminology and Public Policy, Environment & Behavior, Journal of Criminal Justice, Journal of Quantitative Criminology, Justice Quarterly, and Social Psychology Quarterly. He is the author of Research Methods in Criminal Justice (McGraw-Hill, 1994), Breaking Away from Broken Windows (Westview, 2001), Community Criminology (New York University Press, 2015), and Human Territorial Functioning (Cambridge University Press, 1988), the editor of Urban Neighborhoods (Praeger, 1986), and a co-editor of Crime and Justice 2000 Volume 1: Continuities and Change (National Institute of Justice, 2000). He began teaching multilevel models to graduate students in the late 1990s. Lists of publications and descriptions of research interest areas appear at www.rbtaylor.net

Klappentext

This book introduces the foundations of multilevel models, using Monopoly® rent data from the classic board game, and the statistical program Stata®. Widespread experience with the game means many readers have a head start on understanding these models.

Inhalt

1. First Steps. 2. From Title Deeds to Dataset. 3. Describing the Dataset Statistically. 4. Monolevel Models Part I: OLS (Ordinary Least Squares) Regression. 5. Monolevel Models Part II: Oneway Analysis of Variance (ANOVA). 6 .First Multilevel Model: No Predictors. 7. Second Multilevel Model: Adding Guesthouses and Hotels. 8. Third Multilevel Model: Do Neighborhoods Alter Hotel Rent Impacts? 9. Longitudinal Data: Did Some Properties Develop Faster than Others? 10. Centering and Multileveling Predictors. 11. Next Steps