Books & Videos

Table of Contents

  1. Chapter 1 Basic Concepts of Measurement

    1. Measurement

    2. Levels of Measurement

    3. True and Error Scores

    4. Reliability and Validity

    5. Measurement Bias

    6. Exercises

  2. Chapter 2 Probability

    1. About Formulas

    2. Basic Definitions

    3. Defining Probability

    4. Bayes’s Theorem

    5. Enough Exposition, Let’s Do Some Statistics!

    6. Exercises

  3. Chapter 3 Data Management

    1. An Approach, Not a Set of Recipes

    2. The Chain of Command

    3. Codebooks

    4. The Rectangular Data File

    5. Spreadsheets and Relational Databases

    6. Inspecting a New Data File

    7. String and Numeric Data

    8. Missing Data

  4. Chapter 4 Descriptive Statistics and Graphics

    1. Populations and Samples

    2. Measures of Central Tendency

    3. Measures of Dispersion

    4. Outliers

    5. Graphic Methods

    6. Bar Charts

    7. Bivariate Charts

    8. Exercises

  5. Chapter 5 Research Design

    1. Observational Studies

    2. Experimental Studies

    3. Gathering Experimental Data

    4. Inference and Threats to Validity

    5. Eliminating Bias

    6. Example Experimental Design

  6. Chapter 6 Critiquing Statistics Presented by Others

    1. The Misuse of Statistics

    2. Common Problems

    3. Quick Checklist

    4. Research Design

    5. Descriptive Statistics

    6. Inferential Statistics

  7. Chapter 7 Inferential Statistics

    1. Probability Distributions

    2. Independent and Dependent Variables

    3. Populations and Samples

    4. The Central Limit Theorem

    5. Hypothesis Testing

    6. Confidence Intervals

    7. p-values

    8. Data Transformations

    9. Exercises

  8. Chapter 8 Thet-Test

    1. The t Distribution

    2. t-Tests

    3. One-Sample t-Test

    4. Two-Sample t-Test

    5. Repeated Measures t-Test

    6. Unequal Variance t-Test

    7. Effect Size and Power

    8. Exercises

  9. Chapter 9 The Correlation Coefficient

    1. Measuring Association

    2. Graphing Associations Through Scatterplots

    3. Pearson’s Product-Moment Correlation Coefficient

    4. Coefficient of Determination

    5. Spearman Rank-Order Coefficient

    6. Advanced Techniques

  10. Chapter 10 Categorical Data

    1. The R×C Table

    2. The Chi-Square Distribution

    3. The Chi-Square Test

    4. Fisher’s Exact Test

    5. McNemar’s Test for Matched Pairs

    6. Correlation Statistics for Categorical Data

    7. The Likert and Semantic Differential Scales

    8. Exercises

  11. Chapter 11 Nonparametric Statistics

    1. Nonnormal Data

    2. Between Subjects Designs

    3. Within-Subjects Designs

    4. Exercises

  12. Chapter 12 Introduction to the General Linear Model

    1. The General Linear Model

    2. Linear Regression

    3. Analysis of Variance (ANOVA)

    4. Exercises

  13. Chapter 13 Extensions of Analysis of Variance

    1. Factorial ANOVA

    2. MANOVA

    3. ANCOVA

    4. Repeated Measures ANOVA

    5. Mixed Designs

  14. Chapter 14 Multiple Linear Regression

    1. Multiple Regression Models

    2. Common Problems with Multiple Regression

    3. Exercises

  15. Chapter 15 Other Types of Regression

    1. Logistic Regression

    2. Logarithmic Transformations

    3. Polynomial Regression

    4. Overfitting

  16. Chapter 16 Other Statistical Techniques

    1. Factor Analysis

    2. Cluster Analysis

    3. Discriminant Function Analysis

    4. Multidimensional Scaling

  17. Chapter 17 Business and Quality Improvement Statistics

    1. Index Numbers

    2. Time Series

    3. Decision Analysis

    4. Quality Improvement

    5. Exercises

  18. Chapter 18 Medical and Epidemiological Statistics

    1. Measures of Disease Frequency

    2. Ratio, Proportion, and Rate

    3. Prevalence and Incidence

    4. Crude, Category-Specific, and Standardized Rates

    5. The Risk Ratio

    6. The Odds Ratio

    7. Confounding, Stratified Analysis, and the Mantel-Haenszel Common Odds Ratio

    8. Power Analysis

    9. Sample Size Calculations

    10. Exercises

  19. Chapter 19 Educational and Psychological Statistics

    1. Percentiles

    2. Standardized Scores

    3. Test Construction

    4. Classical Test Theory: The True Score Model

    5. Reliability of a Composite Test

    6. Measures of Internal Consistency

    7. Item Analysis

    8. Item Response Theory

    9. Exercises

  1. Appendix Review of Basic Mathematics

  2. Appendix Introduction to Statistical Packages

  3. Appendix References

  4. Colophon