# Advanced Methods

### Auditing Analyses

### Time Series Analysis

### Correspondence Analysis

- How to Improve and Troubleshoot Correspondence Analysis Maps
- How to Do a Multiple Correspondence Analysis
- How to Interpret a Moonplot
- How to Focus the Results of Correspondence Analysis in Q
- How to Customize Bubble Charts for Correspondence Analysis in Q

### Latent Class Analysis

### Cluster Analysis

### Linear Discriminant Analysis

### Regression & Generalized Linear Models

- How to Do Binary Logistic Regression in Q
- How to Interpret Logistic Regression Coefficients
- How to Interpret Logistic Regression Outputs
- How to Check for Multicollinearity in an Ordered Logit Model
- How to Run and Interpret Shapley Regression

### MaxDiff

- How to use Covariates to Improve Your MaxDiff Model in Q
- How to Do a MaxDiff Analysis - Case Study
- How to Analyze FluidSurveys Max Differential Scale Data
- How to Use Hierarchical Bayes for MaxDiff in Q
- How to Do MaxDiff Latent Class Analysis in Q

### Driver Analysis

### Choice Modeling

- How to Compute Preference Shares from a Choice Model Using Scenarios
- How to Format Data for Running Conjoint in Q
- How to Create Alternative-Specific Choice Model Designs in Q
- How to Use Substitution Maps to Understand Preferences in Conjoint Analysis
- How to Use Indifference Curves to Understand Trade-offs in Conjoint Analysis

### Segmentation

### Correlation

### Structural Equation Modeling

### Dimension Reduction

### TURF

### Machine Learning

- Machine Learning - Compare Models
- Machine Learning - Deep Learning
- Machine Learning - Diagnostic - Analysis Report
- Machine Learning - Diagnostic - Prediction-Accuracy Table
- Machine Learning - Gradient Boosting

### Analysis of Variance