An Introduction to Statistical Concepts

by Debbie L. Hahs-vaughn, Richard G. Lomax (Contributor)

The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known, procedures and models, whilst also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics (e.g., effect sizes and their confidence intervals and power). This comprehensive, flexible, and accessible text includes a new chapter on mediation and moderation; expanded coverage of effect sizes; and discussions of sensitivity, specificity, false positive, and false negative, along with using the receiver operator characteristic (ROC) curve. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book, noted for its crystal-clear explanations, and its inclusion of only the most crucial equations, is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral disciplines―from education, business, communication, exercise science, psychology, sociology and more.

1186 pages, Hardcover

Published February 21, 2020

Reviews

[Brittany · Rating 2 out of 5]

Reading and a workout (for the brain and the arms)! The sheer size and weight of this book is equally impressive and ridiculous at the same time. I read this for a mandatory graduate stats class or else I wouldn't have gotten through it. The authors’ title choice is ironic with their “introduction” being over 1000 pages!?! One positive is that it gives real-world examples but is very technical and not recommended unless you have a basic understanding of statistics and go in with eyes wide open to the difficulty level.

[Ann · Rating 3 out of 5]

I used this book as a student in a data research class. My biggest issue with the book was the problem solutions in the back. They were sometimes incorrect and I relied on my professor to check my work. I worked through most of the first 8 or 9 chapters which were required for the course. It did give me an overall review of introductory statistics and provided a more thorough understanding than my undergraduate work.

[Ka Ming · Rating 4 out of 5]

Practical examples with enough technical discussion.