Your Statistical Consultant 2/e

Rae R. Newton is Professor of Sociology Emeritus at California State University, Fullerton. He recently joined the faculty of the School of Psychology at Fielding Graduate University where he serves as a research consultant and statistical advisor to doctoral students and faculty. He received his PhD in sociology from the University of California, Santa Barbara, and completed postdoctoral training in mental health measurement at Indiana University. His primary interests include longitudinal modeling of outcomes for high risk youth and foster care populations, family violence and statistics education. He is author, with Kjell Erik Rudestam, of Your Statistical Consultant: Answers to Your Data Analysis Questions, now in its second edition and numerous articles in professional journals on topics including family violence, child maltreatment, and measurement. In semi-retirement he enjoys traveling with his wife in their RV and surfing throughout Mexico and Central America. Kjell Erik Rudestam is Professor of Psychology at Fielding Graduate University, Santa Barbara, California, where he served as Associate Dean of Academic Affairs for many years. He was previously a psychology professor at York University, Toronto, and Miami University, Oxford, Ohio, after receiving his PhD in Psychology (Clinical) from the University of Oregon. He is the author of Your Statistical Consultant: Answers to Your Data Analysis Questions, 2nd edition (also with Rae R. Newton), Handbook of Online Learning, 2nd edition (with Judith Schoenholtz-Read), and eight other books, as well as numerous articles in professional journals on topics including suicide, psychotherapy, and family and organizational systems. He is a Fellow of the American Psychological Association (Division 12), a Diplomate of the American Board of Examiners in Professional Psychology (Clinical), a Diplomate of the American Academy of Experts in Traumatic Stress, and holds an Honorary Doctorate of Science from The Professional School of Psychology.

Chapter 1. Getting Started With Statistical Analysis: Where Do I Obtain Data and How Do I Prepare Data for Statistical Analysis? Chapter 2. How Do I Examine Data Prior to Analysis? Chapter 3. Traditional Approaches to Statistical Analysis and the Logic of Statistical Inference Chapter 4. Rethinking Traditional Paradigms: Power, Effect Size, and Hypothesis Testing Alternatives Chapter 5. What Are the Assumptions of Statistical Testing? Chapter 6. An Introduction to Statistical Models: Explaining Relationship Patterns Chapter 7. How Do I Select the Appropriate Statistical Test? Chapter 8. How Do I Deal With Non-Normality, Missing Values, and Outliers? Chapter 9. Types of Variables and Their Treatment in Statistical Analysis Chapter 10. Questions about Analysis of Variance Chapter 11. Questions abuot Multiple Regression Analysis Chapter 12. The Bigger Picture

This book is valuable for its interpretation of alternative approaches to traditional statistical inferences... The second edition is noticeably updated and clearly replaces the earlier 1999 publication... Just opening it gives a clear road map with key points in italics and key terms in boldface. The links to statistical websites are gems. This textbook supplement is ideal for advanced students, practitioners, and faculty in the social sciences. Summing Up: Highly recommended. -- CHOICE