Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

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.

In this example, as may be judged from its mean and sd (Table 8.5.1), it would
signify a very low (possibly the lowest possible) level of motivation, so these
contrasts imply significantly higher performance for the control group than the
average of the experimental groups when motivation is very low. In summary, the
analysis indicates markedly different (linear) relationships between level of
motivation and performance as a function of instructions. The two experimental
groups show ...