Categorical Data Analysis

  1. Advanced Topics
    1. Agreement Analysis
      1. Cohen's Kappa
        1. Formula and Calculation
          1. Interpretation Guidelines
            1. Confidence Intervals
              1. Limitations and Criticisms
              2. Weighted Kappa
                1. Weight Selection
                  1. Ordinal Data Applications
                    1. Linear and Quadratic Weights
                    2. Intraclass Correlation
                      1. Multiple Raters
                        1. Random Effects Models
                      2. Matched Pairs Analysis
                        1. McNemar's Test
                          1. Discordant Pairs Focus
                            1. Test Statistic
                              1. Exact and Approximate Methods
                              2. Marginal Homogeneity
                                1. Stuart-Maxwell Test
                                  1. Multiple Categories
                                2. Repeated Measures
                                  1. Marginal Models
                                    1. Generalized Estimating Equations
                                      1. Working Correlation Structures
                                        1. Robust Standard Errors
                                        2. Mixed Effects Models
                                          1. Random Intercepts
                                            1. Random Slopes
                                              1. Generalized Linear Mixed Models
                                            2. Correspondence Analysis
                                              1. Dimension Reduction
                                                1. Chi-Square Distance
                                                  1. Biplot Interpretation
                                                    1. Multiple Correspondence Analysis
                                                    2. Latent Variable Models
                                                      1. Latent Class Analysis
                                                        1. Model Identification
                                                          1. Parameter Estimation
                                                            1. Class Assignment
                                                            2. Item Response Theory
                                                              1. Binary Response Models
                                                                1. Polytomous Response Models

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                                                            9. Loglinear Models

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                                                            11. Computational Methods