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SUMMARY:State of the art in psychometric modelling of forced-choice questi
 onnaire data - Dr. Anna Brown
DTSTART:20120308T140000Z
DTEND:20120308T150000Z
UID:TALK36434@talks.cam.ac.uk
CONTACT:Luning Sun
DESCRIPTION:Presenting questionnaire items in comparative formats can redu
 ce common response sets and biases. These formats require respondents sele
 ct most attractive out of two stimuli\, or arrange a larger number of stim
 uli in order of attractiveness\, either fully or partially. Until recently
 \, basic classical scoring methods were applied to this kind of data\, gen
 erally leading to scores relative to the person’s mean (ipsative scores).
  Recent advances in estimation methods have enabled rapid development of I
 RT models for forced-choice questionnaires that overcome problems of ipsat
 ive data. In this talk\, a unified framework for modelling comparative dat
 a is provided. It is shown that different preference mechanisms\, and diff
 erent models for absolute judgement (i.e. dominance or ideal-point models)
  can be accomodated under this framework. Finally\, the Thurstonian IRT mo
 del (Brown & Maydeu-Olivares\, 2011) is described that allows flexible mod
 elling and scoring of forced-choice questionnaires in practice.
LOCATION:Seminar Room\, The Mond Building\, New Museums Site
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