Item Response Models for Forced-Choice Questionnaires: A Common Framework.

Running head: IRT MODELS FOR FORCED-CHOICE QUESTIONNAIRES Item Response Models for Forced-Choice Questionnaires: A Common Framework

In forced-choice questionnaires, respondents have to make choices between two or more items presented at the same time. Several IRT models have been developed to link respondent choices to underlying psychological attributes, including the recent MUPP (Stark, Chernyshenko & Drasgow, 2005) and Thurstonian IRT (Brown & Maydeu-Olivares, 2011) models. In the present article, a common framework is p...

How Item Response Theory can solve problems of ipsative data

.......................................................................................................... 3 Introduction ..................................................................................................... 4 Single-stimulus response format ................................................................... 4 Response biases affecting single-stimulus items ........................

How IRT can solve problems of ipsative data in forced-choice questionnaires.

In multidimensional forced-choice (MFC) questionnaires, items measuring different attributes are presented in blocks, and participants have to rank order the items within each block (fully or partially). Such comparative formats can reduce the impact of numerous response biases often affecting single-stimulus items (aka rating or Likert scales). However, if scored with traditional methodology, ...

Psychological Methods How IRT Can Solve Problems of Ipsative Data in Forced-Choice Questionnaires

Integration of the Forced-Choice Questionnaire and the Likert Scale: A Simulation Study

The Thurstonian item response theory (IRT) model allows estimating the latent trait scores of respondents directly through their responses in forced-choice questionnaires. It solves a part of problems brought by the traditional scoring methods of this kind of questionnaires. However, the forced-choice designs may still have their own limitations: The model may encounter underidentification and ...