The Dominant Trait Profile Method of Scoring Multidimensional Forced-Choice Questionnaires

Area of Science:

• Psychometrics
• Psychological Measurement

Background:

• Multidimensional forced-choice (MFC) questionnaires are widely used for personality assessment.
• Existing scoring methods can be computationally complex and difficult to implement.

Purpose of the Study:

• To introduce and evaluate a novel scoring method for MFC questionnaires: the Dominant Trait Profile (DTP) method.
• To provide a simpler yet effective alternative for trait estimation in psychological assessments.

Main Methods:

• The Dominant Trait Profile (DTP) method involves identifying a dominant response vector (DRV) for each trait.
• Respondent's observed response vectors are matched to DRVs to generate binary scores.
• Scores are analyzed using latent trait modeling with options for bounded D-scale or item response theory logit scale.

Main Results:

• DTP-based trait estimates show high correlations with established Thurstonian and Zinnes and Griggs models.
• The DTP method avoids the complexity and computational issues associated with these traditional models.
• It enables individual comparison on specific traits and against a dominant trait standard.

Conclusions:

• The Dominant Trait Profile (DTP) method is a viable and efficient alternative for scoring MFC questionnaires.
• It offers a simplified approach to trait estimation without compromising accuracy.
• This method enhances the practical application of MFC questionnaires in research and clinical settings.