Skip to main content
Fig. 1 | Health and Quality of Life Outcomes

Fig. 1

From: Item analysis using Rasch models confirms that the Danish versions of the DISABKIDS® chronic-generic and diabetes-specific modules are valid and reliable

Fig. 1

Graphical representation of the item response theory (IRT) for the GLLRM model. Item response theory (IRT) graph showing the relationships between items (CG1-5), independence (green), and background variables (grey). The arrows and edges between the covariates indicate that these variables are statistically associated. The IRT graph includes information on local dependence (e.g., line between CG1 and CG3), differential item functioning (DIF) (e.g., arrow between age and CG5), and the effect of background variables on independence (e.g., arrow between HbA1c), age, sex, and independence). Whereas time and treatment do not display any DIF or effect on independence

Back to article page

Health and Quality of Life Outcomes

ISSN: 1477-7525

Contact us