Psychometric properties of a computerized adaptive test for assessing mobility in older adults using novel video-animation technology
This paper reports on the psychometric properties of a computerized adaptive test (CAT) version of the Mobility Assessment Tool (MAT) for older adults (MAT-CAT).
An item pool of 78 video-animation-based items for mobility was developed, and response data were collected from a sample of 234 participants aged 65–90 years. The video-animation-based instrument was designed to minimize ambiguity in the presentation of task demands. In addition to evaluating traditional psychometric properties including dimensionality, differential item functioning (DIF), and local dependence, we extensively tested the performance of several MAT-CAT measures and compared their performances with a fixed format.
Operationally, the MAT-CAT was sufficiently unidimensional and had acceptable levels of local independence. One DIF item was removed. Most importantly, the CAT measures showed that even starting with a single fixed item at the mean ability, the adaptive version delivered better performance than the fixed format in terms of several criteria including the standard error of estimate.
The MAT-CAT demonstrated satisfactory psychometric properties and superior performance to a fixed format. The video-animation-based adaptive instrument can be used for assessing mobility with specificity and precision.
KeywordsMobility Assessment Tool Item response theory Health-related quality of life Mobility disability Animation
Differential item functioning
Mobility Assessment Tool
Health-related quality of life
Health Insurance Portability and Accountability Act of 1996
Computerized adaptive test
- 1.Rejeski, W. J., Mihalko, S. (2001). Physical activity and quality of life in older adults. The Journals of Gerontology, 56A(Special Issue II), 23–35.Google Scholar
- 2.Guralnik, J. M., Ferrucci, L., Simonsick, E. M., Salive, M. E., & Wallace, R. B. (1994). A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. The Journals of Gerontology, 49, M85–M94.Google Scholar
- 4.Ware, J. E., Kosinski, M., & Keller, S. K. (1994). SF-36 physical and mental health summary scales: A user’s manual. Boston, MA: The Health Institute.Google Scholar
- 10.Curcio, C. L., Gómez, J. F., Lord, C., Ip, E. H., Marsh, A. P., Rejeski, W. J., Alvarado, B. E. (2011). Validity and reliability of Spanish version of the Mobility Assessment Tool short version: Results from a Colombian study in elderly populations. Presented at the 2011 Canadian Association on Gerontology Pan-American Congress on Geriatrics and Gerontology, Ottawa, Canada, October 2011.Google Scholar
- 11.Wainer, H., et al. (Eds.). (2000). Computerized adaptive testing: A primer (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- 12.R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2011. ISBN: 3-900051-07-0, http://www.R-project.org/.
- 13.Rizopoulos, D. (2006). ltm: An R package for latent variable modeling and item response theory analyses. Journal of Statistical Software, 17(5), 1–25.Google Scholar
- 19.Cai, L., Thissen, D., & du Toit, S. (2011). IRTPRO user’s guide. Lincolnwood: Scientific Software International, IL.Google Scholar
- 20.Muthén, L. K., & Muthén, B. O. (2007). Mplus user’s guide (5th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
- 21.Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B, 57(1), 289–300.Google Scholar