Fujimoto, Ken A.
Program Chair for Research Methodology
- PhD, University of Illinois at Chicago, Chicago, IL
One area of my research consists of developing novel Bayesian parametric and nonparametric item response theory (IRT) models to more effectively examine the quality of educational and psychological test data. Another aspect of my research focuses on evaluating and refining rating instruments that measure the quality of daycare centers and mental health-related constructs.
Specialty AreaMeasurement and Statistics
- Research Methodology
- RMTD 404 Introduction to Educational Statistics
- RMTD 430 Psychological Measurement
- RMTD 432 Item Response Theory
- RMTD 403 Survey Research
- Parametric and Nonparametric Item Response Theory Modeling
- Bayesian Data Analysis
- Multilevel Modeling
- Educational and Psychological Test Design
- Fujimoto, K. A., & Neugebauer, S. R. (2020). A general Bayesian multidimensional item response theory model for small and large samples. Educational and Psychological Measurement, 80(4), 665–694.
- Fujimoto, K. A. (2020). A more flexible multilevel bifactor item response theory model. Journal of Educational Measurement, 57(2), 255–285.
- Fujimoto, K. A. (2019). The Bayesian multilevel trifactor item response theory model. Educational and Psychological Measurement, 79(3), 462–494.
- Fujimoto, K. A. (2018). A Bayesian multilevel multidimensional item response theory model for locally dependent data. British Journal of Mathematical and Statistical Psychology, 71(3), 536–560.
- Fujimoto, K. A., & Karabatsos, G. (2014). Dependent Dirichlet process rating model. Applied Psychological Measurement, 38(3), 217–228.