This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.

This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.

Introduction
Measurement Concepts
Classifying Data
Presenting Data
Measuring Typical Achievement
Measuring Variations in Achievement
Measuring Relative Achievement
Measuring Association
Regression Analysis
Inferential Statistics
Choosing an Appropriate Test
Design 1
One Group Design: Single Observations on One Variable
Design 2
One Group Design: One Observation per Subject on Each of Two or More Variables
Design 3
One Group Design: Repeated Observations on the Same Subjects under Two Conditions or before and after Treatment
Design 4
One Group - Multi-Treatment (trials): Treatments as Independent Variable
Design 5
Two Group Designs: Static Comparisons on One or More Variables
Design 6
Multi- Group Design: More than Two Groups, One Single Variable
Design 7
Multivariate Analysis. Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (a) No Repeated Measures on Factors
Design 8
Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (b) Repeated Measures on ONE Factor
Factorial Designs
The Effect of Two Independent Variables on the Dependent Variable; (c) Repeated Measures on BOTH Factors