Joint Bayesian estimation of dynamic cognitive diagnostic models recovers transition parameters more accurately than bias-corrected stepwise methods under limited test length and sample size.
Sufficient and necessary conditions for the identifiability of the q-matrix.Statistica Sinica, 31(1):449–472
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A Comparison of Joint and Stepwise Dynamic Cognitive Diagnostic Models
Joint Bayesian estimation of dynamic cognitive diagnostic models recovers transition parameters more accurately than bias-corrected stepwise methods under limited test length and sample size.