"Students and researchers in psychology and other behavioral sciences, as well as those interested in related applications of statistics, could find this book a useful resource because of its mathematical display boxes, computer hints, easy-to-read narrative, and glossary of statistical terms, along with its practical advise and valuable insights."—The American Statistician"The author's illustrations of even complex statistical ideas via eloquent interpretations of the data results in the examples are outstanding features of this book.... Basic linear algebra is enough to read this book. Biostatisticians and health researchers should have this book in their collections."—Journal of Statistical Computation and Simulation

• Contents: Preface. Statistics in Psychology: Data, Models, and a Little History. Graphical Methods of Displaying Data. Analysis of Variance I: The One-Way Design. Analysis of Variance II: Factorial Designs. Analysis of Repeated Measure Designs. Simple Linear Regression and Multiple Regression Analysis. Analysis of Longitudinal Data. Distribution-Free and Computationally Intensive Methods. Analysis of Categorical Data I: Contingency Tables and the Chi-Square Test. Analysis of Categorical Data II: Log-Linear Models and Logistic Regression. Appendices: Statistical Glossary. Answers to Selected Exercises.

"Students and researchers in psychology and other behavioral sciences, as well as those interested in related applications of statistics, could find this book a useful resource because of its mathematical display boxes, computer hints, easy-to-read narrative, and glossary of statistical terms, along with its practical advise and valuable insights."—The American Statistician"The author's illustrations of even complex statistical ideas via eloquent interpretations of the data results in the examples are outstanding features of this book.... Basic linear algebra is enough to read this book. Biostatisticians and health researchers should have this book in their collections."—Journal of Statistical Computation and Simulation

• Contents: Preface. Statistics in Psychology: Data, Models, and a Little History. Graphical Methods of Displaying Data. Analysis of Variance I: The One-Way Design. Analysis of Variance II: Factorial Designs. Analysis of Repeated Measure Designs. Simple Linear Regression and Multiple Regression Analysis. Analysis of Longitudinal Data. Distribution-Free and Computationally Intensive Methods. Analysis of Categorical Data I: Contingency Tables and the Chi-Square Test. Analysis of Categorical Data II: Log-Linear Models and Logistic Regression. Appendices: Statistical Glossary. Answers to Selected Exercises.