The EM Algorithm and Its Variants in Cognitive Diagnostic Models: Comparing Their Propensity for Boundaries, Extremes, Convergence, and Suboptimal Solutions
Applied Psychological Measurement
Published online on June 23, 2026
Abstract
Applied Psychological Measurement, Ahead of Print.
Choosing suitable estimation methods for cognitive diagnostic models (CDMs) is critical. However, practitioners often face issues like non-convergence, boundary estimates, extreme values, and unstable suboptimal solutions, which affect the accuracy and ...
Choosing suitable estimation methods for cognitive diagnostic models (CDMs) is critical. However, practitioners often face issues like non-convergence, boundary estimates, extreme values, and unstable suboptimal solutions, which affect the accuracy and ...