13 citations · 19 across the 4 of their papers we have counts for
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stat.CO2021
Variational Bayesian Inference for a Polytomous-Attribute Saturated Diagnostic Classification Model with Parallel Computing
Motonori Oka, Shun Saso, Kensuke Okada
As a statistical tool to assist formative assessments in educational settings, diagnostic classification models (DCMs) have been increasingly used to provide diagnostic information…
stat.CO2021★ 13 cited
Scalable Bayesian Approach for the DINA Q-matrix Estimation Combining Stochastic Optimization and Variational Inference
Motonori Oka, Kensuke Okada
Diagnostic classification models (DCMs) offer statistical tools to inspect the fined-grained attribute of respondents' strengths and weaknesses. However, the diagnosis accuracy det…
stat.CO2021★ 6 cited
Assessing the Performance of Diagnostic Classification Models in Small Sample Contexts with Different Estimation Methods
Motonori Oka, Kensuke Okada
Fueled by the call for formative assessments, diagnostic classification models (DCMs) have recently gained popularity in psychometrics. Despite their potential for providing diagno…