Now in its second edition, Statistical Concepts—A Second Course presents the last 10 chapters from the fifth edition of An Introduction to Statistical Concepts. Designed for second and upper-level statistics courses, this book highlights how statistics work and how best to utilize them to aid students in the analysis of their own data and the interpretation of research results.
The book describes intermediate statistical concepts including analysis of variance models, analysis of covariance, and a complete presentation of several regression models (simple, multiple, logistic, and multinomial) along with a  chapter on mediation and moderation. It includes expanded coverage of effect sizes and more organizational features to summarize key concepts.  This new edition includes fully updated content, expanded coverage of concepts and applications in SPSS and R, and new discussions of multinomial logistic regression. Additionally, supplemental digital resources are available to support instructors and students alike.
This book acts as a clear and accessible instructional tool to help readers fully understand statistical concepts and how to apply them to data. It is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral science disciplines.