Jeffrey A Douglas

Yigit, H. D., & Douglas, J. A. (Accepted/In press). First-Order Learning Models With the GDINA: Estimation With the EM Algorithm and Applications. Applied Psychological Measurement. https://doi.org/10.1177/0146621621990746

Benjamin, A. S., Griffin, M. L., & Douglas, J. A. (2019). A nonparametric technique for analysis of state-trace functions. Journal of Mathematical Psychology, 90, 88-99. https://doi.org/10.1016/j.jmp.2019.03.006

Tu, D., Wang, S., Cai, Y., Douglas, J., & Chang, H. H. (2019). Cognitive Diagnostic Models With Attribute Hierarchies: Model Estimation With a Restricted Q-Matrix Design. Applied Psychological Measurement, 43(4), 255-271. https://doi.org/10.1177/0146621618765721

Zhang, S., Douglas, J., Wang, S., & Andrew Culpepper, S. (2019). Reduced Reparameterized Unified Model Applied to Learning Spatial Rotation Skills. In M. von Davier, & Y-S. Lee (Eds.), Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages (pp. 503-524). (Methodology of Educational Measurement and Assessment). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-05584-4_24

Chen, Y., Culpepper, S. A., Wang, S., & Douglas, J. (2018). A Hidden Markov Model for Learning Trajectories in Cognitive Diagnosis With Application to Spatial Rotation Skills. Applied Psychological Measurement, 42(1), 5-23. https://doi.org/10.1177/0146621617721250

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