M. J. Mulcahey, Lisa Merenda, Feng Tian, Scott Kozin, Michelle James, Gloria Gogola, Pengsheng Ni; Computer Adaptive Test Approach to the Assessment of Children and Youth With Brachial Plexus Birth Palsy. Am J Occup Ther 2013;67(5):524–533. https://doi.org/10.5014/ajot.2013.008037
Download citation file:
© 2020 American Occupational Therapy Association
This study examined the psychometric properties of item pools relevant to upper-extremity function and activity performance and evaluated simulated 5-, 10-, and 15-item computer adaptive tests (CATs). In a multicenter, cross-sectional study of 200 children and youth with brachial plexus birth palsy (BPBP), parents responded to upper-extremity (n = 52) and activity (n = 34) items using a 5-point response scale. We used confirmatory and exploratory factor analysis, ordinal logistic regression, item maps, and standard errors to evaluate the psychometric properties of the item banks. Validity was evaluated using analysis of variance and Pearson correlation coefficients. Results show that the two item pools have acceptable model fit, scaled well for children and youth with BPBP, and had good validity, content range, and precision. Simulated CATs performed comparably to the full item banks, suggesting that a reduced number of items provide similar information to the entire set of items.
Large item banks and CATs can potentially address the limitations of traditional instruments used in occupational therapy by minimizing or eliminating ceiling and floor effects, improving score precision, reducing the burden associated with long instruments, and generating test scores in real time.
The results of this study demonstrated that item banks of UE function and activity performance scaled well for children and youth with BPBP and had good validity, content range, and precision.
Simulated CATs performed comparably to the full item banks, suggesting that a reduced number of items provide similar information as the entire set of items.
This PDF is available to Subscribers Only
For full access to this pdf, sign in to an existing account, or purchase an annual subscription.