Statistical Methods For Psychology, 6th Edition (International Student Edition)

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this Sixth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.

Howell explains the material at an intuitive level to give students a sense of how tests work and how they interrelate. He illustrates concepts with real-life examples from published literature. This text integrates two underlying themes. The first is the importance of looking at the data before formulating a hypothesis, while the second is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. Each chapter begins with Objectives, detailed Contents, and a brief introduction. To help students easily find them, key terms can be found in the margin of the text, and in bold within the text narrative. End-of-chapter resources include Key Terms, Exercises, and Discussion Questions. Students can find brief answers to the odd-numbered exercises at the end of the text, and worked-out answers in the Student Manual. To help increase students'' understanding, the author uses definitional formulae rather than computational ones. To meet the changing needs of professors and students alike, this text emphasizes computer solutions (SPSS, SAS, and MINITAB), especially in later chapters. In the exercises that accompany each chapter, additional, or modified, questions have been included that are suitable for computer analysis rather than hand calculation. The data for all of the examples and problems are available from the book''s web site. Chapter 18, "Resampling and Nonparametric Approaches to Data" includes a major section on nonparametric statistics, taking into account recent work on resampling statistics and bootstrapping. This chapter also includes a recommendation of computer programs used to perform the analyses.