@article {171,
	title = {A computer adaptive testing approach for assessing physical functioning in children and adolescents},
	journal = {Developmental Medicine and Child Neuropsychology},
	volume = {47},
	number = {2},
	year = {2005},
	note = {Haley, Stephen MNi, PengshengFragala-Pinkham, Maria ASkrinar, Alison MCorzo, DeyaniraComparative StudyResearch Support, Non-U.S. Gov{\textquoteright}tEnglandDevelopmental medicine and child neurologyDev Med Child Neurol. 2005 Feb;47(2):113-20.},
	month = {Feb},
	pages = {113-120},
	edition = {2005/02/15},
	abstract = {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{\textquoteright}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.},
	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},
	isbn = {0012-1622 (Print)},
	author = {Haley, S. M. and Ni, P. and Fragala-Pinkham, M. A. and Skrinar, A. M. and Corzo, D.}
}
@article {211,
	title = {Contemporary measurement techniques for rehabilitation outcomes assessment},
	journal = {Journal of Rehabilitation Medicine},
	volume = {37},
	number = {6},
	year = {2005},
	note = {1650-1977 (Print)Journal ArticleReview},
	pages = {339-345},
	abstract = {In this article, we review the limitations of traditional rehabilitation functional outcome instruments currently in use within the rehabilitation field to assess Activity and Participation domains as defined by the International Classification of Function, Disability, and Health. These include a narrow scope of functional outcomes, data incompatibility across instruments, and the precision vs feasibility dilemma. Following this, we illustrate how contemporary measurement techniques, such as item response theory methods combined with computer adaptive testing methodology, can be applied in rehabilitation to design functional outcome instruments that are comprehensive in scope, accurate, allow for compatibility across instruments, and are sensitive to clinically important change without sacrificing their feasibility. Finally, we present some of the pressing challenges that need to be overcome to provide effective dissemination and training assistance to ensure that current and future generations of rehabilitation professionals are familiar with and skilled in the application of contemporary outcomes measurement.},
	keywords = {*Disability Evaluation, Activities of Daily Living/classification, Disabled Persons/classification/*rehabilitation, Health Status Indicators, Humans, Outcome Assessment (Health Care)/*methods/standards, Recovery of Function, Research Support, N.I.H., Extramural, Research Support, U.S. Gov{\textquoteright}t, Non-P.H.S., Sensitivity and Specificity computerized adaptive testing},
	author = {Jette, A. M. and Haley, S. M.}
}
