Morning - Orientation
- Brief Review of MPT models
- Examples
ABO Blood Group
- Pair-clustering
- Source monitoring
- Binary MPT Model Specification
- Categories
- Parameters
- Tree Structure
- Computational Rules
- Critical Issues
- Model building is an art
- Validity
- Equivalence of Multi-link MPT and Binary MPT
- Brief Survey of MPT Modeling Areas
- Batchelder & Riefer (1999) and Erdfelder et al. (2009)
- In packets reference most MPT papers
- A String Language Representation of MPT Models
- String Axioms for Binary MPT
- Examples
- Order Constraints
- String Axioms for multi-link MPT
| Afternoon - Orientation
- Inference policies
- Our earlier approach to inference
- Likelihood Functions
- One tree and many trees
- Maximizing the likelihood function
- Example pair-clustering model
- Data from clinical experiment with schizophrenics and alcoholics
- Bayesian Inference
- Priors, posteriors, and MCMC
- Advantages of Bayesian inference
- Testing for Heterogeneity
- Subject heterogeneity
- Both subject and item heterogeneity
- Tests on clinical experimental data
- Modeling Heterogeneity in Subjects
- Published approaches to subject heterogeneity
- Beta MPT models
- Application to clinical experiment and study time experiment
- Ideas for Modeling Heterogeneity in both Participants and Items
- Rasch model
- Spearman ideas
- Combining Rasch and Spearman
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