Cognitive diagnosis models of students’ skill profiles as a basis for adaptive teaching: an example from introductory accounting classes

Empirical Research in Vocational Education and Training

Table 8 Hypotheses testing

Model		loglike	# Par	AIC	BIC	\(\chi\) ²	df	p
	NC-RUM30	− 12069.4	300	24738.7	26133.8
H1	C-RUM30	− 12468.6	138	25213.1	25854.9	798.4	162	< 0.001
H2	HIR-NC-RUM30	− 12512.9	300	25625.7	27020.8	887.0	0	–

H1/2 Hypothesis 1/2, NC-RUM30 Non-compensatory reparameterized unified model with 30 tasks, C-RUM30 Compensatory reparameterized unified model with 30 tasks, HIR-NC-RUM30 Hierarchical non-compensatory reparameterized unified model with 30 tasks, loglike Log-likelihood, # Par Number of parameters, AIC Akaike information criterion, BIC Bayesian information criterion, χ² Chi-square, df Degrees of freedom, p Significance level