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SUMMARY:Frank Miller (Linköping University and Stockholm University)
DTSTART:20230525T111500Z
DTEND:20230525T120000Z
DTSTAMP:20260422T155052Z
UID:gbgstats/28
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/28/
 ">Parallel optimal pretesting of mixed-format questions for achievement te
 sts</a>\nby Frank Miller (Linköping University and Stockholm University) 
 as part of Gothenburg statistics seminar\n\nLecture held in MVL14.\n\nAbst
 ract\nWhen large achievement tests like national tests in school or admiss
 ion tests for university are conducted regularly\, the test-questions need
  to be pretested before being used in the test. Methods for assigning pret
 esting questions to examinees in an optimal way based on their ability hav
 e been developed. Most of these methods are intended for a situation where
  examinees arrive sequentially for being assigned to pretesting questions.
  However\, several pretests (e.g.\, for national tests in Swedish schools 
 or for högskoleprovet) are conducted in a way where all or many examinees
  conduct the test in parallel. In this talk\, we develop an optimal design
  for such parallel pretest setups which can be implemented in real scenari
 os. In many real test situations\, questions are of mixed format and our o
 ptimal design method can handle that. We discuss first the optimal designs
  for the 2-parameter logistic\, the 3-parameter logistic\, and the general
 ized partial credit model. Then\, we consider the case of mixed-format tes
 ts where all these models are used to fit the data. The method we propose 
 can also take different expected solve times into consideration. We invest
 igate the efficiency gain of the method. Our investigations show that the 
 proposed method is able to increase the efficiency of pretests considerabl
 y. The described method has been used for the Swedish national tests in ma
 thematics. \n\nThis is a joint work with Ellinor Fackle-Fornius\n
LOCATION:https://researchseminars.org/talk/gbgstats/28/
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