@article {381, title = {Pre-equating: a simulation study based on a large scale assessment model}, journal = {Journal of Applied Measurement}, volume = {5}, number = {3}, year = {2004}, note = {1529-7713Journal Article}, pages = {301-18}, abstract = {Although post-equating (PE) has proven to be an acceptable method in the scaling and equating of items and forms, there are times when the turn-around period for equating and converting raw scores to scale scores is so small that PE cannot be undertaken within the prescribed time frame. In such cases, pre-equating (PrE) could be considered as an acceptable alternative. Assessing the feasibility of using item calibrations from the item bank (as in PrE) is conditioned on the equivalency of the calibrations and the errors associated with it vis a vis the results obtained via PE. This paper creates item banks over three periods of item introduction into the banks and uses the Rasch model in examining data with respect to the recovery of item parameters, the measurement error, and the effect cut-points have on examinee placement in both the PrE and PE situations. Results indicate that PrE is a viable solution to PE provided the stability of the item calibrations are enhanced by using large sample sizes (perhaps as large as full-population) in populating the item bank.}, keywords = {*Databases, *Models, Theoretical, Calibration, Human, Psychometrics, Reference Values, Reproducibility of Results}, author = {Taherbhai, H. M. and Young, M. J.} } @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.} }