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| Tables and Figures | |
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| Preface | |
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| About the Authors | |
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| Univariate Description | |
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| Using Statistics | |
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| Why Study Statistics? | |
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| Tasks for Statistics: Describing, Inferring, Testing, Predicting | |
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| Statistics in the Research Process | |
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| Basic Elements of Research: Units of Analysis and Variables | |
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| Displaying One Distribution | |
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| Summarizing Variation in One Variable | |
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| Frequency Distributions for Nominal Variables | |
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| Frequency Distributions for Ordinal Variables | |
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| Frequency Distributions for Interval/Ratio Variables | |
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| Summarizing Data Using Excel | |
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| Central Tendency | |
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| The Basic Idea of Central Tendency | |
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| The Mode | |
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| The Median | |
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| The Mean | |
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| Dispersion | |
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| The Basic Idea of Dispersion | |
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| Dispersion of Categorical Data | |
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| Dispersion of Interval/Ratio Data | |
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| Describing the Shape of a Distribution | |
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| The Basic Ideas of Distributional Shape | |
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| The Shape of Nominal and Ordinal Distributions | |
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| Unimodality | |
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| Skewness | |
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| Kurtosis | |
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| Some Common Distributional Shapes | |
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| The Normal Distribution | |
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| Introduction to the Normal Distribution | |
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| Properties of Normal Distributions | |
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| The Standard Normal, or Z, Distribution | |
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| Working with Standard Normal (Z) Scores | |
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| Finding Areas "Under the Curve" | |
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| Inference and Hypothesis Testing | |
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| Basic Ideas of Statistical Inference | |
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| Introduction to Statistical Inference | |
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| Sampling Concepts | |
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| Central Tendency Estimates | |
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| Assessing Confidence in Point Estimates | |
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| Hypothesis Testing for One Sample | |
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| Hypothesis Testing | |
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| The Testing Process | |
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| Tests about One Mean | |
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| Tests about One Proportion | |
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| Hypothesis Testing for Two Samples | |
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| Comparing Two Groups | |
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| Comparing Two Groups' Means | |
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| Comparing Two Groups' Proportions | |
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| Nonindependent Samples | |
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| Using Excel for Two-Sample Tests | |
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| Interpreting Group Differences | |
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| Multiple Sample Tests of Proportions: Chi-Squared | |
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| Comparing Proportions across Several Groups | |
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| Testing for Multiple Group Differences | |
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| Describing Group Differences | |
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| Multiple Sample Tests for Means: One-Way ANOVA | |
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| Comparing Several Group Means with Analysis of Variance | |
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| Analyzing Variance and the F-Test | |
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| Analyzing Variance | |
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| The F-Test | |
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| Comparing Means | |
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| Association and Prediction | |
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| Association with Categorical Variables | |
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| The Concept of Statistical Association | |
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| Association with Nominal Variables | |
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| Association with Ordinal Variables | |
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| Association of Interval/Ratio Variables | |
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| Visualizing Interval/Ratio Association | |
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| Significance Testing for Interval/Ratio Association | |
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| Regression Analysis | |
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| Predicting Outcomes with Regression | |
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| Simple Linear Regression | |
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| Applying Simple Regression Analysis | |
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| Multiple Regression | |
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| Applying Multiple Regression | |
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| Logistic Regression Analysis | |
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| Predicting with Nonlinear Relationships | |
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| Logistic Regression | |
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| The Logistic Regression Model | |
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| Interpreting Effects in Logistic Regression | |
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| Estimating Logistic Regression Models with Maximum Likelihood | |
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| Applying Logistic Regression | |
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| Assessing Partial Effects | |
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| Extending Logistic Regression | |
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| Appendix | |
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| Chi-Squared Distribution: Critical Values for Commonly Used Alpha = 0.05 and Alpha = 0.01 | |
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| F-Distribution: Critical Values for Commonly Used Alpha = 0.05 and Alpha = 0.01 | |
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| Standard Normal Scores (Z-Scores), and Cumulative Probabilities (Proportion of Cases Having Scores below Z) | |
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| Student's t-Distribution: Critical Values for Commonly Used Alpha Levels | |
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| Index | |