Statistics for the behavioral sciences

Previous edition: 2012.

Part I: Introduction and Descriptive Statistics<br />Chapter 1: Introduction to Statistics<br /> 1.1 The Use of Statistics in Science<br /> 1.2 Descriptive and Inferential Statistics<br /> 1.3 Research Methods and Statistics<br /> 1.4 Scales of Measurement<br /> 1.5 Types of Data<br /> 1.6 Research in Focus: Types of Data and Scales of Measurement<br /> 1.7 SPSS in Focus: Entering and Defining Variables<br />Chapter 2: Summarizing Data: Frequency Distributions in Tables and Graphs<br /> 2.1 Why Summarize Data?<br /> 2.2 Frequency Distributions for Grouped Data<br /> 2.3 Identifying Percentile Points and Percentile Ranks<br /> 2.4 SPSS in Focus: Frequency Distributions for Quantitative Data<br /> 2.5 Frequency Distributions for Ungrouped Data<br /> 2.6 Research in Focus: Summarizing Demographic Information<br /> 2.7 SPSS in Focus: Frequency Distributions for Categorical Data<br /> 2.8 Pictorial Frequency Distributions<br /> 2.9 Graphing Distributions.

Continuous Data<br /> 2.10 Graphing Distributions: Discrete and Categorical Data<br /> 2.11 Research in Focus: Frequencies and Percents<br /> 2.12 SPSS in Focus: Histograms, Bar Charts, and Pie Charts<br />Chapter 3: Summarizing Data: Central Tendency<br /> 3.1 Introduction to Central Tendency<br /> 3.2 Measures of Central Tendency<br /> 3.3 Characteristics of the Mean<br /> 3.4 Choosing an Appropriate Measure of Central Tendency<br /> 3.5 Research in Focus: Describing Central Tendency<br /> 3.6 SPSS in Focus: Mean, Median,

And Mode<br />Chapter 4: Summarizing Data: Variability<br /> 4.1 Measuring Variability<br /> 4.2 The Range<br /> 4.3 Research in Focus: Reporting the Range<br /> 4.4 Quartiles and Intequartiles<br /> 4.5 The Variance<br /> 4.6 Explaining Variance for Populations and Samples<br /> 4.7 The Computational Formula for Variance<br /> 4.8 The Standard Deviation<br /> 4.9 What Does the Standard Deviation Tell Us?<br /> 4.10 Characteristics of the Standard Deviation<br /> 4.11 SPSS in Focus: Range, Variance,

Confidence Intervals<br />Part IV: Making Inferences About the Variability of Two or More Means<br />Chapter 12.

Analysis of Variance: One-Way Between-Subjects Design<br /> 12.1 Increasing k: A Shift to Analyzing Variance<br /> 12.2 An Introduction to Analysis of Variance<br /> 12.3 Sources of Variation and the Test Statistic<br /> 12.4 Degrees of Freedom<br /> 12.5 The One-Way Between-Subjects ANOVA<br /> 12.6 What Is the Next Step?<br /> 12.7 Post Hoc Comparisons<br /> 12.8 SPSS in Focus: The One-Way Between-Subjects ANOVA<br /> 12.9 Measuring Effect Size<br /> 12.10 APA in Focus: Reporting the F Statistic, Significance,

And Effect Size<br />Chapter 13: Analysis of Variance: One-Way Within-Subjects (Repeated Measures) Design<br /> 13.1 Observing the Same Participants Across Groups<br /> 13.2 Sources of Variation and the Test Statistic<br /> 13.3 Degrees of Freedom<br /> 13.4 The One-Way Within-Subjects ANOVA<br /> 13.5 Post Hoc Comparison: Bonferroni Procedure<br /> 13.6 SPSS in Focus: The One-Way Within-Subjects ANOVA<br /> 13.7 Measuring Effect Size<br /> 13.8 The Within-Subjects Design: Consistency and Power<br /> 13.9 APA in Focus: Reporting the F Statistic, Significance, and Effect Size<br />Chapter 14.

Analysis of Variance: Two-Way Between-Subjects Factorial Design<br /> 14.1 Observing Two Factors at the Same Time<br /> 14.2 New Terminology and Notation<br /> 14.3 Designs for the Two-Way ANOVA<br /> 14.4 Describing Variability: Main Effects and Interactions<br /> 14.5 The Two-Way Between-Subjects ANOVA<br /> 14.6 Analyzing Main Effects and Interactions<br /> 14.7 Measuring Effect Size<br /> 14.8 SPSS in Focus: The Two-Way Between-Subjects ANOVA<br /> 14.9 APA in Focus: Reporting Main Effects, Interactions, and Effect Size<br />Part V: Making Inferences About Patterns, Frequencies, and Ordinal Data<br />Chapter 15.

Correlation<br /> 15.1 The Structure of a Correlational Design<br /> 15.2 Describing a Correlation<br /> 15.3 Pearson Correlation Coefficient<br /> 15.4 SPSS in Focus: Pearson Correlation Coefficient<br /> 15.5 Assumptions of Tests for Linear Correlations<br /> 15.6 Limitations in Interpretation: Causality, Outliers, and Restrictions of Range<br /> 15.7 Alternative to Pearson r: Spearman Correlation Coefficient<br /> 15.8 SPSS in Focus: Spearman Correlation Coefficient<br /> 15.9 Alternative to Pearson r: Point-Biserial Correlation Coeffici.