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Research on examination response time has focused on investigating traditional multiple-choice items, and consequently the impact of other innovative or complex item formats on response times is not understood. The present study applied a multilevel modeling framework to investigate examinee characteristics associated with response time differences on a high-stakes examination comprised of multiple item formats. Results showed that a linear growth model described examinee pacing on the traditional multiple-choice section, while a growth curve model described pacing on a diagnostic study section comprised of complex, graphic-intensive selected-response items. Examinees’ gender, ability, and age explained variability in response times for each exam section. These findings have implications for test developers who intend to incorporate complex item formats into their high-stakes examinations.
Brian J. Hess, American Board of Internal Medicine
Mary Johnston, American Board of Internal Medicine
Rebecca S. Lipner, American Board of Internal Medicine