In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…

Continuously administered examination programs, particularly credentialing programs that require graduation from educational programs, often experience seasonality where distributions of examine ability may differ over time. Such seasonality may affect the quality of important statistical processes, such as item response theory (IRT) item…

Many scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to…

Standard setting is a method used to set cut scores on large-scale assessments. One of the most popular standard setting methods is the Bookmark method. In the Bookmark method, panelists are asked to envision a response probability (RP) criterion and move through a booklet of ordered items based on a RP criterion. This study investigates whether…

This study empirically examined the behaviors of item and person statistics derived from item response theory and classical test theory, focusing on item and person statistics and using a large-scale statewide assessment. Findings show that the person and item statistics from the two measurement frameworks are quite comparable. (SLD)