ABSTRACT

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.

chapter 1|24 pages

Introduction

chapter 2|56 pages

Data Representation

chapter 8|47 pages

Inferences About Proportions

chapter 9|23 pages

Inferences About Variances

chapter 10|46 pages

Bivariate Measures of Association

chapter 12|44 pages

Multiple Comparison Procedures

chapter 17|64 pages

Simple Linear Regression

chapter 18|73 pages

Multiple Linear Regression

chapter 19|67 pages

Logistic Regression

chapter 20|43 pages

Mediation and Moderation