The Impact Of Missing Data On Parameter Estimation In Computerized Adaptive Testing

Download or read book The Impact of Missing Data on Parameter Estimation in Computerized Adaptive Testing written by Xiaowen Liu and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer adaptive testing (CAT) targets items to student ability level and creates a missing data pattern that may not be ignorable, depending on the use of the testing data. The current study investigates the impact of missingness on parameter recovery in CAT by examining parameter estimation and the sampling distributions of parameter estimates in several testing conditions. Overall, recalibration of item parameters after an operational CAT was reasonable despite the missing data challenges. Under some conditions, a subset of item discrimination parameters were estimated to be negative, resulting in a discontinuity in the ability continuum. A cluster analysis revealed the extent to which post-CAT data segments students and items. The ignorability of missingness in process data in CAT was also explored. Results for the estimation of response time and accuracy models, t separately and jointly, showed the importance of including the observed responses relevant to the missing data mechanism.