Social Statistics

  1. Communicating Statistical Results
    1. Writing Quantitative Research Reports
      1. Structure of Research Reports
        1. Introduction and Literature Review
          1. Problem Statement
            1. Theoretical Framework
              1. Literature Synthesis
                1. Research Questions and Hypotheses
                2. Methods Section
                  1. Research Design
                    1. Participants and Sampling
                      1. Measures and Variables
                        1. Data Collection Procedures
                          1. Analytical Strategy
                          2. Results Section
                            1. Descriptive Statistics
                              1. Inferential Statistics
                                1. Effect Sizes
                                  1. Statistical Assumptions
                                  2. Discussion and Conclusion
                                    1. Interpretation of Findings
                                      1. Theoretical Implications
                                        1. Practical Implications
                                          1. Limitations
                                            1. Future Research Directions
                                            2. Abstract Writing
                                              1. Reference Citations
                                              2. Presenting Data Effectively
                                                1. Table Construction
                                                  1. Table Elements and Format
                                                    1. Descriptive Statistics Tables
                                                      1. Correlation Tables
                                                        1. Regression Tables
                                                          1. ANOVA Tables
                                                          2. Graph and Chart Design
                                                            1. Choosing Appropriate Graphics
                                                              1. Design Principles
                                                                1. Color and Formatting
                                                                  1. Accessibility Considerations
                                                                  2. Audience Considerations
                                                                    1. Academic vs. General Audiences
                                                                      1. Technical vs. Non-technical Presentations
                                                                    2. Statistical Interpretation
                                                                      1. Relating Findings to Theory
                                                                        1. Distinguishing Statistical and Practical Significance
                                                                          1. Effect Size Interpretation
                                                                            1. Confidence Interval Interpretation
                                                                              1. Discussing Limitations
                                                                                1. Addressing Alternative Explanations
                                                                                2. Critical Evaluation of Statistics
                                                                                  1. Identifying Statistical Misuse
                                                                                    1. Cherry-picking Results
                                                                                      1. Data Dredging
                                                                                        1. Inappropriate Statistical Tests
                                                                                        2. Recognizing Bias and Confounding
                                                                                          1. Selection Bias
                                                                                            1. Measurement Bias
                                                                                              1. Confounding Variables
                                                                                              2. Assessing Research Quality
                                                                                                1. Study Design Evaluation
                                                                                                  1. Sample Quality Assessment
                                                                                                    1. Measurement Quality
                                                                                                    2. Media Literacy for Statistics
                                                                                                      1. Evaluating Statistical Claims
                                                                                                        1. Understanding Uncertainty
                                                                                                          1. Recognizing Misleading Presentations