This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, written for graduate students in the social sciences, public health, and education, offers a practical approach to making sociological sense out of a body of quantitative data. The book also will be useful to more experienced researchers who need a readily accessible handbook on quantitative methods.

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?Quantitative Data Analysis, by Donald J. Treiman, is a well-written demonstration of how to answer questions using statistics. The range of techniques is broad, ranging from simple advice for making tables readily readable through linear and logistic regression to log-linear and random-effects models? Treiman writes using clear, precise language? Treiman also takes the time and effort to explain how to avoid common pitfalls of data analysis? worth a look for those wanting to see the applications of a wide variety of statistical techniques to a variety of problems or for those who are interested in the thought process behind assessing the results of techniques.? ? STATA Bookstore review

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