Purpose: To describe the psychometric properties (e.g., data distribution characteristics, convergent/discriminant validity, internal consistency reliability, and test administration characteristics) of the spinal cord injury quality of life measurement system (SCI-QOL) Resilience item bank delivered as a computer adaptive test (CAT) in a sample of individuals with chronic pain and spinal cord injury (SCI). Methods: Descriptive statistics were calculated to investigate variable data distribution characteristics. Correlation analyses were conducted for convergent and discriminant validity. Item response theory-derived reliability was calculated for the SCI-QOL Resilience CAT. Result: One hundred thirty-three adults with SCI (N = 133; 73.5% male, 26.5% female) were enrolled. Sample mean T score on the SCI-QOL Resilience measure was 48.40, SD = 8.60 (min = 29.4; max = 70.0). The CAT administered between 4 (most common, 41.4% of cases) and 12 (9% of cases) items with the Mean#items = 5.73, SD = 2.45. The SCI-QOL Resilience CAT scores were normally distributed, with very low ceiling (0%) and floor (3%) effects. The SCI-QOL Resilience CAT had a reliability of 0.89, and the mean length of time for respondents to complete the SCI-QOL Resilience CAT was 44.34 s. SCI-QOL Resilience CAT validity was supported by significant moderate correlations with pain acceptance, depressive symptoms, pain catastrophizing, positive affect and well-being, and pain interference (convergent validity) and small non-significant correlations with age, sex, injury level, pain intensity, mobility level, and years since injury (discriminant validity). Conclusion: The SCI-QOL Resilience CAT demonstrated good convergent and discriminant validity. The CAT administration characteristics were impressive: With few items (low response burden), the scale achieved good reliability.
- Computer adaptive test
- Spinal cord injury
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health