Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- Global Edition Acknowledgments -- 1 Introduction -- 1.1 Introduction to Statistical Methodology -- 1.2 Descriptive Statistics and Inferential Statistics -- 1.3 The Role of Computers and Software in Statistics -- 1.4 Chapter Summary -- 2 Sampling and Measurement -- 2.1 Variables and Their Measurement -- 2.2 Randomization -- 2.3 Sampling Variability and Potential Bias -- 2.4 Other Probability Sampling Methods* -- 2.5 Chapter Summary -- 3 Descriptive Statistics -- 3.1 Describing Data with Tables and Graphs -- 3.2 Describing the Center of the Data -- 3.3 Describing Variability of the Data -- 3.4 Measures of Position -- 3.5 Bivariate Descriptive Statistics -- 3.6 Sample Statistics and Population Parameters -- 3.7 Chapter Summary -- 4 Probability Distributions -- 4.1 Introduction to Probability -- 4.2 Probability Distributions for Discrete and Continuous Variables -- 4.3 The Normal Probability Distribution -- 4.4 Sampling Distributions Describe How Statistics Vary -- 4.5 Sampling Distributions of Sample Means -- 4.6 Review: Population, Sample Data, and Sampling Distributions -- 4.7 Chapter Summary -- 5 Statistical Inference: Estimation -- 5.1 Point and Interval Estimation -- 5.2 Confidence Interval for a Proportion -- 5.3 Confidence Interval for a Mean -- 5.4 Choice of Sample Size -- 5.5 Estimation Methods: Maximum Likelihood and the Bootstrap* -- 5.6 Chapter Summary -- 6 Statistical Inference: Significance Tests -- 6.1 The Five Parts of a Significance Test -- 6.2 Significance Test for a Mean -- 6.3 Significance Test for a Proportion -- 6.4 Decisions and Types of Errors in Tests -- 6.5 Limitations of Significance Tests -- 6.6 Finding P(Type II Error)* -- 6.7 Small-Sample Test for a Proportion—the Binomial Distribution* -- 6.8 Chapter Summary -- 7 Comparison of Two Groups -- 7.1 Preliminaries for Comparing Groups -- 7.2 Categorical Data: Comparing Two Proportions -- 7.3 Quantitative Data: Comparing Two Means -- 7.4 Comparing Means with Dependent Samples -- 7.5 Other Methods for Comparing Means* -- 7.6 Other Methods for Comparing Proportions* -- 7.7 Nonparametric Statistics for Comparing Groups* -- 7.8 Chapter Summary -- 8 Analyzing Association between Categorical Variables -- 8.1 Contingency Tables -- 8.2 Chi-Squared Test of Independence -- 8.3 Residuals: Detecting the Pattern of Association -- 8.4 Measuring Association in Contingency Tables -- 8.5 Association Between Ordinal Variables* -- 8.6 Chapter Summary -- 9 Linear Regression and Correlation -- 9.1 Linear Relationships -- 9.2 Least Squares Prediction Equation -- 9.3 The Linear Regression Model -- 9.4 Measuring Linear Association: The Correlation -- 9.5 Inferences for the Slope and Correlation -- 9.6 Model Assumptions and Violations -- 9.7 Chapter Summary -- 10 Introduction to Multivariate Relationships -- 10.1 Association and Causality -- 10.2 Controlling for Other Variables -- 10.3 Types of Multivariate Relationships -- 10.4 Inferential Issues in Statistical Control -- 10.5 Chapter Summary -- 11 Multiple Regression and Correlation -- 11.1 The Multiple Regression Model -- 11.2 Multiple Correlation and R2 -- 11.3 Inferences for Multiple Regression Coefficients -- 11.4 Modeling Interaction Effects -- 11.5 Comparing Regression Models -- 11.6 Partial Correlation* -- 11.7 Standardized Regression Coefficients* -- 11.8 Chapter Summary -- 12 Regression with Categorical Predictors: Analysis of Variance Methods -- 12.1 Regression Modeling with Dummy Variables for Categories -- 12.2 Multiple Comparisons of Means -- 12.3 Comparing Several Means: Analysis of Variance -- 12.4 Two-Way ANOVA and Regression Modeling -- 12.5 Repeated-Measures Analysis of Variance* -- 12.6 Two-Way ANOVA with Repeated Measures on a Factor* -- 12.7 Chapter Summary -- 13 Multiple Regression with Quantitative and Categorical Predictors -- 13.1 Models with Quantitative and Categorical Explanatory Variables -- 13.2 Inference for Regression with Quantitative and Categorical Predictors -- 13.3 Case Studies: Using Multiple Regression in Research -- 13.4 Adjusted Means* -- 13.5 The Linear Mixed Model* -- 13.6 Chapter Summary -- 14 Model Building with Multiple Regression -- 14.1 Model Selection Procedures -- 14.2 Regression Diagnostics -- 14.3 Effects of Multicollinearity -- 14.4 Generalized Linear Models -- 14.5 Nonlinear Relationships: Polynomial Regression -- 14.6 Exponential Regression and Log Transforms* -- 14.7 Robust Variances and Nonparametric Regression* -- 14.8 Chapter Summary -- 15 Logistic Regression: Modeling Categorical Responses -- 15.1 Logistic Regression -- 15.2 Multiple Logistic Regression -- 15.3 Inference for Logistic Regression Models -- 15.4 Logistic Regression Models for Ordinal Variables* -- 15.5 Logistic Models for Nominal Responses* -- 15.6 Loglinear Models for Categorical Variables* -- 15.7 Model Goodness-of-Fit Tests for Contingency Tables* -- 15.8 Chapter Summary -- Appendix: R, Stata, SPSS, and SAS for Statistical Analyses -- Bibliography -- Credits -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y -- Z -- Back Cover -- .
