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Activity Number: 380 - Advances in Statistical Learning for Large-Scale and Multidimensional Testing Data
Type: Topic-Contributed
Date/Time: Thursday, August 12, 2021 : 12:00 PM to 1:50 PM
Sponsor: International Chinese Statistical Association
Abstract #317112
Title: Response Accuracy and Response Time in Cognitive Tests
Author(s): Paul De Boeck*
Companies: The Ohio State University
Keywords: accuracy; response time; cognitive tests
Abstract:

It is an old and still unresolved issue how much a cognitive test score reflects ability and how much it reflects speed. The well-known speed-accuracy tradeoff does not make an answer to the question easier. In the presentation I will report the results of my research steps to investigate the problem. Briefly summarized, the findings are as follows. First, the correlation of ability and speed across persons depends on the test. Second, based on different kinds of modeling and different kinds of data, there seem to be remaining item-wise dependencies (i.e., conditional dependencies) between response accuracy and response time after controlling for the underlying latent variables. Third, the remaining dependencies depend on the difficulties of the test items and the dependencies also are curvilinear. The remaining dependencies are undesirable from the viewpoint of measurement invariance of ability scores, but they also are informative for the ongoing processes while solving cognitive problems. I will present an explanation for the findings, and a tentative, complex answer to the old question what is being measured in a cognitive test.


Authors who are presenting talks have a * after their name.

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