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 scoresmay 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 bookfor 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 (inboth 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: BL Downloadable data setsBL Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and moreBL Additional material for data analysis The investigation of change has fascinated empirical researchers for generations, and to do it well, they must have longitudinal data. This book instructs readers in the various methodologies to make the best use of longitudinal data, including both individual growth modeling and survival analysis.