Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models.

Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods.

Visit http://www.ats.ucla.edu/stat/examples/alda.htm for:


· Downloadable data sets


· Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more


· Additional material for data analysis

• Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)
• Applied Longitudinal Analysis
• Principles and Practice of Structural Equation Modeling, Fourth Edition (Methodology in the Social Sciences)
• Multilevel Analysis: An Introduction To Basic And Advanced Multilevel Modeling
• Multilevel Modeling (Quantitative Applications in the Social Sciences)
• Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition: A Regression-Based Approach (Methodology in the Social Sciences)
• Methods Matter: Improving Causal Inference in Educational and Social Science Research
• Growth Modeling: Structural Equation and Multilevel Modeling Approaches (Methodology in the Social Sciences) by Kevin J. Grimm PhD (2016-10-17)
• Data Analysis Using Regression and Multilevel/Hierarchical Models
• Multilevel and Longitudinal Modeling with IBM SPSS (Quantitative Methodology Series)