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.

IntroductionMeasurement ConceptsClassifying DataPresenting DataMeasuring Typical AchievementMeasuring Variations in AchievementMeasuring Relative AchievementMeasuring AssociationRegression AnalysisInferential StatisticsChoosing an Appropriate TestDesign 1 One Group Design: Single Observations on One VariableDesign 2 One Group Design: One Observation per Subject on Each of Two or More VariablesDesign 3 One Group Design: Repeated Observations on the Same Subjects under Two Conditions or before and after TreatmentDesign 4 One Group - Multi-Treatment (trials): Treatments as Independent VariableDesign 5 Two Group Designs: Static Comparisons on One or More VariablesDesign 6 Multi- Group Design: More than Two Groups, One Single VariableDesign 7 Multivariate Analysis. Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (a) No Repeated Measures on FactorsDesign 8 Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (b) Repeated Measures on ONE FactorFactorial Designs The Effect of Two Independent Variables on the Dependent Variable; (c) Repeated Measures on BOTH Factors