Multilevel Model Foundations

Regular price €69.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=Ralph B. Taylor
Analysis for Multilevel theories
Author_Ralph B. Taylor
behavioural science research
Category=GPS
Category=JHBC
Category=JMB
Category=JNM
clustered data analysis
college statistics
Data clustered in time or space
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Levels of analysis
longitudinal property trends
mixed models
mixed models basics
Monopoly
multilevel modeling with board game data
multilevel modelling
property data statistics
quantitative research methods
random effects models
Separating group effects
social science methodology
social science research
Stata
statistical modeling tutorial

Product details

  • ISBN 9781032431970
  • Weight: 580g
  • Dimensions: 138 x 216mm
  • Publication Date: 07 Dec 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns

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. The small-data set, 132 rent values for 22 properties clustered by the four sides of the playing board, combines with extensive graphical displays of data and results so all readers can see core multilevel ideas in action at a granular level. Two chapters on standard statistical models, one-way analysis of variance and multiple regression, help readers see how multilevel models rely on but also extend these monolevel ideas. Chapters present three basic multilevel models for cross-sectional analyses – analysis of variance, analysis of covariance, and random coefficients regression – and one basic developmental model for longitudinal analyses. Troubleshooting guidance, combined with close examination of data patterns, and careful inspection of model parameters, all help readers better grasp what model results mean, when model results should or should not be trusted, and how model results link back to core theoretical questions. Consequently, readers will develop a sense of best practices for building and diagnosing their own multilevel models. Those who complete the volume can readily apply what they have learned to more complex datasets and models and adapt available online Stata do files to those projects. Any social scientist working with data clustered in time, in space, or in both, and seeking to learn more about how to use, interpret, or teach these models, will find the book useful.

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 PhD 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 behavior. 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 .

More from this author