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Graded Response Model Analysis and Computer Adaptive Test Simulation of the Depression Anxiety Stress Scale 21:
Jake Kraska1, Karen Bell1, Shane Costello1
1School of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Australia.
Background:
The Depression Anxiety Stress Scale 21 (DASS-21) is a mental health screening tool with conflicting studies regarding its factor structure. No studies have yet attempted to develop a computer adaptive test (CAT) version of it.
Objective:
This study calibrated items for, and simulated, a DASS-21 CAT using a nonclinical sample.
Methods:
An evaluation sample (n=580) was used to evaluate the DASS-21 scales via confirmatory factor analysis, Mokken analysis, and graded response modeling. A CAT was simulated with a validation sample (n=248) and a simulated sample (n=10,000) to confirm the generalizability of the model developed.
Results:
A bifactor model, also known as the "quadripartite" model (1 general factor with 3 specific factors) in the context of the DASS-21, displayed good fit. All scales displayed acceptable fit with the graded response model. Simulation of 3 unidimensional (depression, anxiety, and stress) CATs resulted in an average 17% to 48% reduction in items administered when a reliability of 0.80 was acceptable.
Conclusions:
This study clarifies previous conflicting findings regarding the DASS-21 factor structure and suggests that the quadripartite model for the DASS-21 items fits best. Item response theory modeling suggests that the items measure their respective constructs best between 0θ and 3θ (mild to moderate severity).
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