Social Statistics

  1. Advanced Topics in Social Statistics
    1. Logistic Regression
      1. Binary Logistic Regression
        1. The Logistic Function
          1. Logit Transformation
            1. Maximum Likelihood Estimation
            2. Interpreting Logistic Regression
              1. Log-Odds Interpretation
                1. Odds Ratios
                  1. Probability Interpretation
                  2. Model Assessment
                    1. Likelihood Ratio Test
                      1. Hosmer-Lemeshow Test
                        1. Classification Tables
                          1. ROC Curves
                          2. Multinomial Logistic Regression
                            1. Multiple Categories
                              1. Reference Category
                              2. Ordinal Logistic Regression
                                1. Proportional Odds Model
                                  1. Assumptions and Testing
                                2. Survey Data Analysis
                                  1. Complex Survey Designs
                                    1. Stratification Effects
                                      1. Clustering Effects
                                        1. Unequal Selection Probabilities
                                        2. Survey Weights
                                          1. Design Weights
                                            1. Non-response Adjustments
                                              1. Post-stratification Weights
                                              2. Design Effects
                                                1. Effective Sample Size
                                                  1. Variance Estimation
                                                  2. Specialized Software Considerations
                                                  3. Factor Analysis
                                                    1. Exploratory Factor Analysis
                                                      1. Principal Components Analysis
                                                        1. Common Factor Analysis
                                                          1. Factor Extraction Methods
                                                            1. Factor Rotation
                                                              1. Interpreting Factor Loadings
                                                              2. Confirmatory Factor Analysis
                                                                1. Measurement Models
                                                                  1. Model Fit Indices
                                                                    1. Modification Indices
                                                                  2. Path Analysis and SEM
                                                                    1. Path Analysis
                                                                      1. Direct and Indirect Effects
                                                                        1. Path Diagrams
                                                                          1. Decomposition of Effects
                                                                          2. Structural Equation Modeling
                                                                            1. Measurement Model
                                                                              1. Structural Model
                                                                                1. Model Identification
                                                                                  1. Goodness of Fit Assessment
                                                                                2. Multilevel Modeling
                                                                                  1. Hierarchical Data Structures
                                                                                    1. Random Intercept Models
                                                                                      1. Random Slope Models
                                                                                        1. Fixed vs. Random Effects
                                                                                          1. Intraclass Correlation
                                                                                            1. Cross-Level Interactions
                                                                                            2. Time Series Analysis
                                                                                              1. Trend Analysis
                                                                                                1. Seasonal Patterns
                                                                                                  1. Autocorrelation
                                                                                                    1. ARIMA Models
                                                                                                    2. Survival Analysis
                                                                                                      1. Hazard Functions
                                                                                                        1. Kaplan-Meier Estimation
                                                                                                          1. Cox Proportional Hazards Model

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                                                                                                        15. Communicating Statistical Results