Introduction | Statistical Methods | Univariate Analysis | Multivariate Analysis | RRcor: RR correlations | RRlog: Logistic RR Regression | RRmixed: Logistic RR Regression with Mixed Effects | RRlin: RR Predictors in a Linear Regression | Testing RR vs. Direct Questioning (DQ) | Specification of RR Models Using One Group | Unrelated Question Techique with Known Prevalance (UQTknown) | Mangat's RR Design | Kuk's RR Design | Forced Response (FR) | Crosswise Model | Triangular Model | RR as Misclassification | Specification of RR Models Using Two Groups | Unrelated Question Technique with Unknown Prevalance (UQTunknown) | Cheating Detection Model (CDM) | Symmetric CDM (CDMsym) | Stochastic Lie Detector (SLD) | Code Examples for Two-Group Models

Advanced MPT Modeling | A) Including Continuous Covariates | B) Including Discrete Factors in a Latent-Trait MPT Model | C) Sampling Transformed Parameters | D) Generate Simulated Data Sets

General Procedure of Using TreeBUGS | 1. Step: MPT model file in EQN syntax | 2. Step: Data Set with Individual Frequencies | 3. Step: Fit Hierarchical MPT Model | 4. Step: Check convergence of MCMC chains | 5. Step: Summarize and Plot Results | References

Example: Testing the Description-Experience Gap | Data structure | Vertex ($V$-)representation | Inequality ($Ab$-)representation | Posterior sampling | Bayes factor | Increased efficiency for Bayes factor computations | Data format for multinomial frequencies | Formal definition of multinomial models with inequality constraints | Parameters and Likelihood | Linear Inequality Constraints | Prior & Posterior | Reference

Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models

Introduction | Randomized response models | Multivariate methods for randomized response data | Empirical example: Attitudes against minarets in Germany | Discussion