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Construct Validation of a Multidimensional Computerized Adaptive Test for Fatigue in Rheumatoid Arthritis
Stephanie Nikolaus1,2, Christina Bode1, Erik Taal1
1Department of Psychology, Health & Technology, Faculty of Behavioral, Management and Social Sciences, University of Twente, Enschede, The Netherlands.
Plos One
|December 29, 2015
Summary
This study found the CAT Fatigue RA test demonstrated good construct validity and excellent measurement precision for fatigue severity and impact in rheumatoid arthritis patients. The variability dimension requires further refinement for optimal use.
Area of Science:
- Rheumatology
- Psychometrics
- Health Outcomes Research
Background:
- Multidimensional computerized adaptive testing (CAT) offers precise patient-reported outcome measurement.
- Assessing fatigue in rheumatoid arthritis (RA) is crucial for patient management.
Purpose of the Study:
- To examine the construct validity of a multidimensional CAT for fatigue in RA patients.
- To evaluate the measurement precision of the CAT Fatigue RA.
Main Methods:
- Developed the 'CAT Fatigue RA' with 196 items across 'severity', 'impact', and 'variability' dimensions.
- Administered the CAT to 166 RA patients, alongside BRAF-MDQ and SF-36 questionnaires.
- Assessed construct validity by correlating CAT dimensions with established questionnaire subscales.
Main Results:
- Achieved construct validity for severity and impact dimensions (87% of correlations as expected).
- Variability dimension showed lower construct validity (53% of correlations as expected).
- Excellent measurement precision for severity and impact; good precision for variability.
Conclusions:
- CAT Fatigue RA exhibits good construct validity and excellent measurement precision for fatigue severity and impact in RA.
- The variability dimension requires recalibration, suggesting a potential two-dimensional model (severity and impact).
