Matthias Von Davier
Monan Professor in Education
Biography
Dr. von Davier’s research focuses on developing psychometric models for analyzing data from complex item and respondent samples and on integrating diagnostic procedures into these methods. His areas of expertise includes topics such as item response theory, latent class analysis, classification and mixture distribution models, diagnostic models, computational statistics, person-fit, item-fit, and model checking, as well as hierarchical extension of models for categorical data analysis, and the analytical methodologies used in large scale educational surveys. Dr. von Davier’s applied research uses these methodologies to analyze data from educational testing, large-scale survey assessments of student skills and adult literacy, to computer-based assessment of skills, and to the analysis of questionnaire data.
Official evaluation summary
Data freshness
Courses taught
- MESA4101 Readings and Research in Educational Research, Measurement, and Evaluation
- MESA7101 Readings and Research in Measurement, Evaluation, Statistics, and Assessment
- MESA8220 Psychometrics I: Classical Test Theory and Rasch Models
- MESA8416 Natural Language Processing
- MESA9911 Doctoral Continuation
- MESA9988 Dissertation Direction