An updated edition of a classic text on applying statistical analyses to the social sciences, Statistical Applications for the Behavioral and Social Sciences offers an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), with an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text provides an applications-oriented, step-by-step presentation of the statistical theories and formulas most often used by social scientists. The revised edition includes a new chapter on basic probability theory, as well as expanded content on post-hoc analyses and computing in Excel and SPSS.

The book covers descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/two-way and repeated-measures ANOVA, linear correlation and regression, as well as chi-square and other nonparametric tests. Additionally, it offers an entire chapter on the basic concepts in research, providing an overall context for all statistical theories and formulas discussed.

With 960 pages of detailed content, this important resource is now in its second edition and continues to be a valuable guide for students and professionals in the behavioral and social sciences.