Applied Multiple Regression: Correlation Analysis for the Behavioral Sciences

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Erlbaum, 1983 - Mathematics - 545 pages
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This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

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Review: Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

User Review  - David Burkam - Goodreads

The bible ... plain and simple. You might not enjoy reading it, but the book is not for entertainment purposes. Read full review

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About the author (1983)

Patricia Cohen has been a "New York Times "reporter for thirteen years. She has also worked at "The Washington Post, New York Newsday, "and "Rolling Stone". She has a BA from Cornell University and a graduate degree from the Woodrow Wilson School at Princeton University.

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