Table Of Contents
- Learn
- 1. Foreword
- 2. A Few Words About Causality
- 3. Variance and Error
-
4. Design
- 4. Design
- 4.1. Occam’s Razor
- 4.2. Experimental Versus Non-Experimental Research
- 4.3. Between-Subjects vs. Within-Subjects Designs
- 4.4. Variables
- 4.5. Descriptive vs. Inferential Designs
- 4.6. Research Questions
- 4.7. Hypotheses
- 4.8. Hypothesis Testing
- 4.9. The p-Value Controversy
- 4.10. How to Choose the Appropriate Statistical Test
- 5. Effect Size and Power
- 6. Sample Size
- 7. Assumptions and Outliers
- 8. Normalization, Standardization, and Data Transformation
- 9. Correlations
- 10. Chi-Square Test
- 11. The t-Test
- 12. ANOVA: Analysis of Variance
- 13. MANOVA: Multiple Analysis of Variance
- 14. Multiple Linear Regression Analysis
- 15. Multiple Logistic Regression
Quantitative Research
by Example
Version: 1.0.0 {β}
Last updated: June 20, 2019
Ioan Gelu Ionas, MBA, Ph.D.
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