|Title||A computer adaptive testing approach for assessing physical functioning in children and adolescents|
|Publication Type||Journal Article|
|Year of Publication||2005|
|Authors||Haley, SM, Ni, P, Fragala-Pinkham, MA, Skrinar, AM, Corzo, D|
|Journal||Developmental Medicine and Child Neuropsychology|
|ISBN Number||0012-1622 (Print)|
|Keywords||*Computer Systems, Activities of Daily Living, Adolescent, Age Factors, Child, Child Development/*physiology, Child, Preschool, Computer Simulation, Confidence Intervals, Demography, Female, Glycogen Storage Disease Type II/physiopathology, Health Status Indicators, Humans, Infant, Infant, Newborn, Male, Motor Activity/*physiology, Outcome Assessment (Health Care)/*methods, Reproducibility of Results, Self Care, Sensitivity and Specificity|
The purpose of this article is to demonstrate: (1) the accuracy and (2) the reduction in amount of time and effort in assessing physical functioning (self-care and mobility domains) of children and adolescents using computer-adaptive testing (CAT). A CAT algorithm selects questions directly tailored to the child's ability level, based on previous responses. Using a CAT algorithm, a simulation study was used to determine the number of items necessary to approximate the score of a full-length assessment. We built simulated CAT (5-, 10-, 15-, and 20-item versions) for self-care and mobility domains and tested their accuracy in a normative sample (n=373; 190 males, 183 females; mean age 6y 11mo [SD 4y 2m], range 4mo to 14y 11mo) and a sample of children and adolescents with Pompe disease (n=26; 21 males, 5 females; mean age 6y 1mo [SD 3y 10mo], range 5mo to 14y 10mo). Results indicated that comparable score estimates (based on computer simulations) to the full-length tests can be achieved in a 20-item CAT version for all age ranges and for normative and clinical samples. No more than 13 to 16% of the items in the full-length tests were needed for any one administration. These results support further consideration of using CAT programs for accurate and efficient clinical assessments of physical functioning.