Bayesian Marginal Joint Models for Responses and Process Data (PR 18-03)
With computerized testing, it is possible to record not only the responses of test takers to test questions but also other details about the test taker해외 카지노 추천™s activity, such as the amount of time spent responding to each question. These details comprise a new type of data called process data. This report proposes a new approach to modeling responses, response times, and other process data: Test-taker data that naturally belong together are grouped in a cross-classification structure. Five examples of models applying this approach are illustrated. This new approach was evaluated in a simulation study and compared to the classical approach. A model that allows for variations in test-taker speed and accuracy produced satisfactory results. This model also lent insight into changes in the speed해외 카지노 추천“accuracy trade-off over the course of the test.