Publication year

Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

Resource type
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 for:DT Downloadable data setsDT Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and moreDT Additional material for data analysis
Oxford University Press, USA
# of Pages
Short Title
Applied Longitudinal Data Analysis
Library Catalogue
Google Books
Google-Books-ID: PpnA1M8VwR8C
Singer, J. D., & Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press, USA.