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’ Theorem

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

    6. Exercises

  3. Chapter 3 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. The Z-Statistic

    9. Data Transformations

    10. Exercises

  4. Chapter 4 Descriptive Statistics and Graphic Displays

    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 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. Proportions: The Large Sample Case

    7. Correlation Statistics for Categorical Data

    8. The Likert and Semantic Differential Scales

    9. Exercises

  6. Chapter 6 The t-Test

    1. The t Distribution

    2. The One-Sample t-Test

    3. The Independent Samples t-Test

    4. Repeated Measures t-Test

    5. Unequal Variance t-Test

    6. Exercises

  7. Chapter 7 The Pearson Correlation Coefficient

    1. Association

    2. Scatterplots

    3. The Pearson Correlation Coefficient

    4. The Coefficient of Determination

    5. Exercises

  8. Chapter 8 Introduction to Regression and ANOVA

    1. The General Linear Model

    2. Linear Regression

    3. Analysis of Variance (ANOVA)

    4. Calculating Simple Regression by Hand

    5. Exercises

  9. Chapter 9 Factorial ANOVA and ANCOVA

    1. Factorial ANOVA

    2. ANCOVA

    3. Exercises

  10. Chapter 10 Multiple Linear Regression

    1. Multiple Regression Models

    2. Exercises

  11. Chapter 11 Logistic, Multinomial, and Polynomial Regression

    1. Logistic Regression

    2. Multinomial Logistic Regression

    3. Polynomial Regression

    4. Overfitting

    5. Exercises

  12. Chapter 12 Factor Analysis, Cluster Analysis, and Discriminant Function Analysis

    1. Factor Analysis

    2. Cluster Analysis

    3. Discriminant Function Analysis

    4. Exercises

  13. Chapter 13 Nonparametric Statistics

    1. Between-Subjects Designs

    2. Within-Subjects Designs

    3. Exercises

  14. Chapter 14 Business and Quality Improvement Statistics

    1. Index Numbers

    2. Time Series

    3. Decision Analysis

    4. Quality Improvement

    5. Exercises

  15. Chapter 15 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

  16. Chapter 16 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

  17. Chapter 17 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

  18. Chapter 18 Research Design

    1. Basic Vocabulary

    2. Observational Studies

    3. Quasi-Experimental Studies

    4. Experimental Studies

    5. Gathering Experimental Data

    6. Example Experimental Design

  19. Chapter 19 Communicating with Statistics

    1. General Notes

  20. Chapter 20 Critiquing Statistics Presented by Others

    1. Evaluating the Whole Article

    2. The Misuse of Statistics

    3. Common Problems

    4. Quick Checklist

    5. Issues in Research Design

    6. Descriptive Statistics

    7. Inferential Statistics

  1. Appendix Review of Basic Mathematics

    1. Laws of Arithmetic

    2. Properties of Real Numbers

    3. Exponents and Roots

    4. Solving Equations

    5. Systems of Equations

    6. Graphing Equations

    7. Linear Inequalities

    8. Fractions

    9. Factorials, Permutations, and Combinations

    10. Exercises

    11. Answers

  2. Appendix Introduction to Statistical Packages

    1. Minitab

    2. SPSS

    3. SAS

    4. R

    5. Microsoft Excel

  3. Appendix References

    1. Preface and General Sources

    2. Chapter 1

    3. Chapter 2

    4. Chapter 3

    5. Chapter 4

    6. Chapter 5

    7. Chapter 6

    8. Chapter 7

    9. Chapter 8

    10. Chapter 9

    11. Chapter 10

    12. Chapter 11

    13. Chapter 12

    14. Chapter 13

    15. Chapter 14

    16. Chapter 15

    17. Chapter 16

    18. Chapter 17

    19. Chapter 18

    20. Chapter 19

    21. Chapter 20

  4. Appendix Probability Tables for Common Distributions

    1. The Standard Normal Distribution

    2. The t-Distribution

    3. The Binomial Distribution

    4. The Chi-Square Distribution

  5. Appendix Online Resources

    1. General Resources

    2. Glossaries

    3. Probability Tables

    4. Online Calculators

    5. Online Textbooks

  6. Appendix Glossary of Statistical Terms

  7. Colophon