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Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
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Binding: Hardcover
Dewey Decimal Number: 001.42
EAN: 9780195152968
Edition: 1
ISBN: 0195152964
Label: Oxford University Press, USA
Manufacturer: Oxford University Press, USA
Number Of Items: 1
Number Of Pages: 672
Publication Date: March 27, 2003
Publisher: Oxford University Press, USA
Studio: Oxford University Press, USA
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Editorial Review:
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
Customer Reviews
Average Rating: 
Rating: - A Wonderful Work
I find Professor Singer's Book to be a most informative and useful tool for anyone who wishes to better understand Multilevel Modeling.
Rating: - Applied Longitudinal Data Analysis by Singer,et al
Clearly written text... and usefull for researchers.
I would recommend it to anyone starting to learn about the subject!
Rating: - The Clearest and Most Useful Book on HLM for Longitudinal Studies
This is simply the best book for those analyzing longitudinal data (data measured at more than one time point). Singer's coverage of Hierarchical Linear MOdeling (HLM) is clear, well-written (sprinkled with humor, it's like a lecture by the most popular prof. at your school), and geared towards researchers who need their programs to run, not just learn the mathematical underpinnings. Singer and Willett (the coauthor, not listed above!) set the standard for presenting math/statistics book examples. ... Read More
Rating: - Breaking down complex analyses
This is an excellent book. Multilevel modeling and survival analysis are becoming increasingly important in psychological studies, but are pretty complicated procedures. Singer & Willet offer both a conceptual background and practical ways to do the analyses in a clear, understandable manner. The book is very readable and will be an important reference for future analyses!
Rating: - very clear and thorough
This book does a particularly good job of explaining the substantive meaning of the equations involved in multilevel modeling analyses. It spends a lot of extra time explaining what the equations mean in real world terms using examples from actual data sets. I teach a graduate level course on HLM and I much prefer this book to the Raudenbush & Byrk book because it not only does a better job of explaining the math (for graduate students less comfortable with statistics) but the chapters are also ... Read More
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