@article {7,
	title = {Development and preliminary testing of a computerized adaptive assessment of chronic pain},
	journal = {Journal of Pain},
	volume = {10},
	number = {9},
	year = {2009},
	note = {Anatchkova, Milena DSaris-Baglama, Renee NKosinski, MarkBjorner, Jakob B1R43AR052251-01A1/AR/NIAMS NIH HHS/United StatesEvaluation StudiesResearch Support, N.I.H., ExtramuralUnited StatesThe journal of pain : official journal of the American Pain SocietyJ Pain. 2009 Sep;10(9):932-43.},
	month = {Sep},
	pages = {932-943},
	edition = {2009/07/15},
	abstract = {The aim of this article is to report the development and preliminary testing of a prototype computerized adaptive test of chronic pain (CHRONIC PAIN-CAT) conducted in 2 stages: (1) evaluation of various item selection and stopping rules through real data-simulated administrations of CHRONIC PAIN-CAT; (2) a feasibility study of the actual prototype CHRONIC PAIN-CAT assessment system conducted in a pilot sample. Item calibrations developed from a US general population sample (N = 782) were used to program a pain severity and impact item bank (kappa = 45), and real data simulations were conducted to determine a CAT stopping rule. The CHRONIC PAIN-CAT was programmed on a tablet PC using QualityMetric{\textquoteright}s Dynamic Health Assessment (DYHNA) software and administered to a clinical sample of pain sufferers (n = 100). The CAT was completed in significantly less time than the static (full item bank) assessment (P < .001). On average, 5.6 items were dynamically administered by CAT to achieve a precise score. Scores estimated from the 2 assessments were highly correlated (r = .89), and both assessments discriminated across pain severity levels (P < .001, RV = .95). Patients{\textquoteright} evaluations of the CHRONIC PAIN-CAT were favorable. PERSPECTIVE: This report demonstrates that the CHRONIC PAIN-CAT is feasible for administration in a clinic. The application has the potential to improve pain assessment and help clinicians manage chronic pain.},
	keywords = {*Computers, *Questionnaires, Activities of Daily Living, Adaptation, Psychological, Chronic Disease, Cohort Studies, Disability Evaluation, Female, Humans, Male, Middle Aged, Models, Psychological, Outcome Assessment (Health Care), Pain Measurement/*methods, Pain, Intractable/*diagnosis/psychology, Psychometrics, Quality of Life, User-Computer Interface},
	isbn = {1528-8447 (Electronic)1526-5900 (Linking)},
	author = {Anatchkova, M. D. and Saris-Baglama, R. N. and Kosinski, M. and Bjorner, J. B.}
}
@article {138,
	title = {Development of an item bank for the assessment of depression in persons with mental illnesses and physical diseases using Rasch analysis},
	journal = {Rehabilitation Psychology},
	volume = {54},
	number = {2},
	year = {2009},
	note = {Forkmann, ThomasBoecker, MarenNorra, ChristineEberle, NicoleKircher, TiloSchauerte, PatrickMischke, KarlWesthofen, MartinGauggel, SiegfriedWirtz, MarkusResearch Support, Non-U.S. Gov{\textquoteright}tUnited StatesRehabilitation psychologyRehabil Psychol. 2009 May;54(2):186-97.},
	month = {May},
	pages = {186-97},
	edition = {2009/05/28},
	abstract = {OBJECTIVE: The calibration of item banks provides the basis for computerized adaptive testing that ensures high diagnostic precision and minimizes participants{\textquoteright} test burden. The present study aimed at developing a new item bank that allows for assessing depression in persons with mental and persons with somatic diseases. METHOD: The sample consisted of 161 participants treated for a depressive syndrome, and 206 participants with somatic illnesses (103 cardiologic, 103 otorhinolaryngologic; overall mean age = 44.1 years, SD =14.0; 44.7\% women) to allow for validation of the item bank in both groups. Persons answered a pool of 182 depression items on a 5-point Likert scale. RESULTS: Evaluation of Rasch model fit (infit < 1.3), differential item functioning, dimensionality, local independence, item spread, item and person separation (>2.0), and reliability (>.80) resulted in a bank of 79 items with good psychometric properties. CONCLUSIONS: The bank provides items with a wide range of content coverage and may serve as a sound basis for computerized adaptive testing applications. It might also be useful for researchers who wish to develop new fixed-length scales for the assessment of depression in specific rehabilitation settings.},
	keywords = {Adaptation, Psychological, Adult, Aged, Depressive Disorder/*diagnosis/psychology, Diagnosis, Computer-Assisted, Female, Heart Diseases/*psychology, Humans, Male, Mental Disorders/*psychology, Middle Aged, Models, Statistical, Otorhinolaryngologic Diseases/*psychology, Personality Assessment/statistics \& numerical data, Personality Inventory/*statistics \& numerical data, Psychometrics/statistics \& numerical data, Questionnaires, Reproducibility of Results, Sick Role},
	isbn = {0090-5550 (Print)0090-5550 (Linking)},
	author = {Forkmann, T. and Boecker, M. and Norra, C. and Eberle, N. and Kircher, T. and Schauerte, P. and Mischke, K. and Westhofen, M. and Gauggel, S. and Wirtz, M.}
}
@article {170,
	title = {Measuring global physical health in children with cerebral palsy: Illustration of a multidimensional bi-factor model and computerized adaptive testing},
	journal = {Quality of Life Research},
	volume = {18},
	number = {3},
	year = {2009},
	note = {Haley, Stephen MNi, PengshengDumas, Helene MFragala-Pinkham, Maria AHambleton, Ronald KMontpetit, KathleenBilodeau, NathalieGorton, George EWatson, KyleTucker, Carole AK02 HD045354-01A1/HD/NICHD NIH HHS/United StatesK02 HD45354-01A1/HD/NICHD NIH HHS/United StatesResearch Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov{\textquoteright}tNetherlandsQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitationQual Life Res. 2009 Apr;18(3):359-70. Epub 2009 Feb 17.},
	month = {Apr},
	pages = {359-370},
	edition = {2009/02/18},
	abstract = {PURPOSE: The purposes of this study were to apply a bi-factor model for the determination of test dimensionality and a multidimensional CAT using computer simulations of real data for the assessment of a new global physical health measure for children with cerebral palsy (CP). METHODS: Parent respondents of 306 children with cerebral palsy were recruited from four pediatric rehabilitation hospitals and outpatient clinics. We compared confirmatory factor analysis results across four models: (1) one-factor unidimensional; (2) two-factor multidimensional (MIRT); (3) bi-factor MIRT with fixed slopes; and (4) bi-factor MIRT with varied slopes. We tested whether the general and content (fatigue and pain) person score estimates could discriminate across severity and types of CP, and whether score estimates from a simulated CAT were similar to estimates based on the total item bank, and whether they correlated as expected with external measures. RESULTS: Confirmatory factor analysis suggested separate pain and fatigue sub-factors; all 37 items were retained in the analyses. From the bi-factor MIRT model with fixed slopes, the full item bank scores discriminated across levels of severity and types of CP, and compared favorably to external instruments. CAT scores based on 10- and 15-item versions accurately captured the global physical health scores. CONCLUSIONS: The bi-factor MIRT CAT application, especially the 10- and 15-item versions, yielded accurate global physical health scores that discriminated across known severity groups and types of CP, and correlated as expected with concurrent measures. The CATs have potential for collecting complex data on the physical health of children with CP in an efficient manner.},
	keywords = {*Computer Simulation, *Health Status, *Models, Statistical, Adaptation, Psychological, Adolescent, Cerebral Palsy/*physiopathology, Child, Child, Preschool, Factor Analysis, Statistical, Female, Humans, Male, Massachusetts, Pennsylvania, Questionnaires, Young Adult},
	isbn = {0962-9343 (Print)0962-9343 (Linking)},
	author = {Haley, S. M. and Ni, P. and Dumas, H. M. and Fragala-Pinkham, M. A. and Hambleton, R. K. and Montpetit, K. and Bilodeau, N. and Gorton, G. E. and Watson, K. and Tucker, C. A.}
}
@article {34,
	title = {Developing an initial physical function item bank from existing sources},
	journal = {Journal of Applied Measurement},
	volume = {4},
	number = {2},
	year = {2003},
	note = {1529-7713Journal Article},
	pages = {124-36},
	abstract = {The objective of this article is to illustrate incremental item banking using health-related quality of life data collected from two samples of patients receiving cancer treatment. The kinds of decisions one faces in establishing an item bank for computerized adaptive testing are also illustrated. Pre-calibration procedures include: identifying common items across databases; creating a new database with data from each pool; reverse-scoring "negative" items; identifying rating scales used in items; identifying pivot points in each rating scale; pivot anchoring items at comparable rating scale categories; and identifying items in each instrument that measure the construct of interest. A series of calibrations were conducted in which a small proportion of new items were added to the common core and misfitting items were identified and deleted until an initial item bank has been developed.},
	keywords = {*Databases, *Sickness Impact Profile, Adaptation, Psychological, Data Collection, Humans, Neoplasms/*physiopathology/psychology/therapy, Psychometrics, Quality of Life/*psychology, Research Support, U.S. Gov{\textquoteright}t, P.H.S., United States},
	author = {Bode, R. K. and Cella, D. and Lai, J. S. and Heinemann, A. W.}
}
