An analysis of an item-response strategy based on knowledge retrieval.

In this paper, we hypothesize a type of item-response strategy based on knowledge retrieval. Knowledge retrieval-based item-solving strategy may emerge when: (1) one's regular ability is not utilized, (2) fast response time is not necessarily applied, and (3) the accuracy rate may be higher than the expected level due to chance. We propose to utilize item-response time with a finite-mixture IRT modeling approach to illustrate a potentially knowledge retrieval-based item-solving strategy. The described strategy is illustrated through the utilization of a low-stakes assessment data administered under no time constraint. A simulation study is provided to evaluate the accuracy of the empirical results.