Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model
The multidimensional forced-choice (MFC) format has been proposed to reduce faking because items within blocks can be matched on desirability. However, the desirability of individual items might not transfer to the item blocks. The aim of this paper is to propose a mixture item response theory model...
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| Veröffentlicht in: | Psychometrika 2022-06, Vol.87 (2), p.773-794 |
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| description | The multidimensional forced-choice (MFC) format has been proposed to reduce faking because items within blocks can be matched on desirability. However, the desirability of individual items might not transfer to the item blocks. The aim of this paper is to propose a mixture item response theory model for faking in the MFC format that allows to estimate the fakability of MFC blocks, termed the Faking Mixture model. Given current computing capabilities, within-subject data from both high- and low-stakes contexts are needed to estimate the model. A simulation showed good parameter recovery under various conditions. An empirical validation showed that matching was necessary but not sufficient to create an MFC questionnaire that can reduce faking. The Faking Mixture model can be used to reduce fakability during test construction. |
| doi_str_mv | 10.1007/s11336-021-09818-6 |
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| subjects | Assessment Behavioral Science and Psychology Deception Estimates Humanities Item response theory Law Personnel selection Psychology Psychometrics Questionnaires Social sciences Statistical Theory and Methods Statistics for Social Sciences Surveys and Questionnaires Testing and Evaluation Theory and Methods |
| title | Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model |
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