Development of an Item Bank for the Assessment of Knowledge on Biology in Argentine University Students.

The calibration of item banks provides the basis for computerized adaptive testing that ensures high diagnostic precision and minimizes participants' test burden. This study aims to develop a bank of items to measure the level of Knowledge on Biology using the Rasch model. The sample consisted of 1219 participants that studied in different faculties of the National University of Cordoba (mean age = 21.85 years, SD = 4.66; 66.9% are women). The items were organized in different forms and into separate subtests, with some common items across subtests. The students were told they had to answer 60 questions of knowledge on biology. Evaluation of Rasch model fit (Zstd >|2.0|), differential item functioning, dimensionality, local independence, item and person separation (>2.0), and reliability (>.80) resulted in a bank of 180 items with good psychometric properties. The bank provides items with a wide range of content coverage and may serve as a sound basis for computerized adaptive testing applications. The contribution of this work is significant in the field of educational assessment in Argentina.