|Title||Pre-equating: a simulation study based on a large scale assessment model|
|Publication Type||Journal Article|
|Year of Publication||2004|
|Authors||Taherbhai, HM, Young, MJ|
|Journal||Journal of Applied Measurement|
|Keywords||*Databases, *Models, Theoretical, Calibration, Human, Psychometrics, Reference Values, Reproducibility of Results|
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.