# Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

## Synopsis

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 Regressionserves 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.

## Excerpt

This book had its origin over 30 years ago, when it became apparent to Jack Cohen that there were relationships between multiple regression and correlation (MRC) on the one hand and the analysis of variance (ANOVA) on the other which were undreamed of (or at least did not appear) in the standard textbooks with which he was familiar. On the contrary, the texts of the era treated MRC and ANOVA as wholly distinct systems of data analysis intended for types of research that differed fundamentally in design, goals, and types of variables. Some research, botii statistical and bibliographic, confirmed the relationships noted and revealed yet others. These relationships served to enrich both systems in many ways, but it also became clear that multiple regression/correlation was potentially a very general system for analyzing data in the behavioral sciences, one that could incorporate the analysis of variance and covariance as special cases. An article outlining these possibilities was published in the quantitative methods section of Psychological Bulletin (J. Cohen, 1968), and it has gone on to become one of the most cited articles in the Bulletin's history (Sternberg, 1992). The volume and sources of early reprint requests and requests to reprint the article suggested mat a responsive chord had been struck among behavioral scientists in diverse areas. It was also obvious that a book-length treatment was needed for adequacy of both systematic coverage and expository detail.

In 1969 Jack and Pat were married and began a happy collaboration, one of whose chief products is this book. (Another has been saluted on the dedication page of each edition.) During the preparation of the first edition of the book, the ideas of the 1968 paper were expanded, further systematized, tried out on data, and hardened in the crucible of our teaching, research, and consulting. We find this system, which has now attained broad usage in the behavioral sciences, to be surprisingly easy to teach and learn. The first edition of this book was published in 1975 and, following further development and revision of the ideas, the second edition was published in 1983.

Despite the continuing popularity of the second edition of this text, by the early 1990s Jack and Pat were very aware of the need to update and extend its coverage of new mediods, options,

Cohen, J. (1968). Multiple regression as a general data-analytic system. Psychological Bulletin, 70, 426–443.

Sternberg, R. J. (1992). Psychological Bulletin's top 10 “hit parade”. Psychological Bulletin, 112, 387–388.

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