TY - JOUR T1 - Developing an initial physical function item bank from existing sources JF - Journal of Applied Measurement Y1 - 2003 A1 - Bode, R. K. A1 - Cella, D. A1 - Lai, J. S. A1 - Heinemann, A. W. KW - *Databases KW - *Sickness Impact Profile KW - Adaptation, Psychological KW - Data Collection KW - Humans KW - Neoplasms/*physiopathology/psychology/therapy KW - Psychometrics KW - Quality of Life/*psychology KW - Research Support, U.S. Gov't, P.H.S. KW - United States AB - 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. VL - 4 N1 - 1529-7713Journal Article ER - TY - JOUR T1 - Item banking to improve, shorten and computerized self-reported fatigue: an illustration of steps to create a core item bank from the FACIT-Fatigue Scale JF - Quality of Life Research Y1 - 2003 A1 - Lai, J-S. A1 - Crane, P. K. A1 - Cella, D. A1 - Chang, C-H. A1 - Bode, R. K. A1 - Heinemann, A. W. KW - *Health Status Indicators KW - *Questionnaires KW - Adult KW - Fatigue/*diagnosis/etiology KW - Female KW - Humans KW - Male KW - Middle Aged KW - Neoplasms/complications KW - Psychometrics KW - Research Support, Non-U.S. Gov't KW - Research Support, U.S. Gov't, P.H.S. KW - Sickness Impact Profile AB - Fatigue is a common symptom among cancer patients and the general population. Due to its subjective nature, fatigue has been difficult to effectively and efficiently assess. Modern computerized adaptive testing (CAT) can enable precise assessment of fatigue using a small number of items from a fatigue item bank. CAT enables brief assessment by selecting questions from an item bank that provide the maximum amount of information given a person's previous responses. This article illustrates steps to prepare such an item bank, using 13 items from the Functional Assessment of Chronic Illness Therapy Fatigue Subscale (FACIT-F) as the basis. Samples included 1022 cancer patients and 1010 people from the general population. An Item Response Theory (IRT)-based rating scale model, a polytomous extension of the Rasch dichotomous model was utilized. Nine items demonstrating acceptable psychometric properties were selected and positioned on the fatigue continuum. The fatigue levels measured by these nine items along with their response categories covered 66.8% of the general population and 82.6% of the cancer patients. Although the operational CAT algorithms to handle polytomously scored items are still in progress, we illustrated how CAT may work by using nine core items to measure level of fatigue. Using this illustration, a fatigue measure comparable to its full-length 13-item scale administration was obtained using four items. The resulting item bank can serve as a core to which will be added a psychometrically sound and operational item bank covering the entire fatigue continuum. VL - 12 N1 - 0962-9343Journal Article ER -