Evidence map›Paper›PMID 40827249›Full record

ArticleEducational and psychological measurement2025

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

Dimiter M Dimitrov

Abstract read
In one paragraph

Article in Educational and psychological measurement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Dimiter M DimitrovEducation & Training Evaluation Commission, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0003-1256-4842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proposed is a new method of scoring multidimensional forced-choice (MFC) questionnaires referred to as the dominant trait profile (DTP) method. The DTP method identifies a dominant response vector (DRV) for each trait-a vector of binary scores for preferences in item pairs within MFC blocks from the perspective of a respondent for whom the trait under consideration dominates over the other traits being measured. The respondents' observed response vectors are matched to the DRV for each trait to produce (1/0) matching scores that are then analyzed via latent trait modeling, with scaling options (a) bounded D-scale (from 0 to 1), or (b) item response theory logit scale. The DTP method allows for the comparison of individuals on a trait of interest, as well as their standing in relation to a dominant trait "standard" (criterion). The study results indicate that DTP-based trait estimates are highly correlated with those produced by the popular Thurstonian item response theory model and the Zinnes and Griggs pairwise preference item response theory model, while avoiding the complexity of their designs and some computations issues.

Indexed as

D-scoring methodforced-choice measuresIRT models of MFC measures

Identifiers

PMID40827249
PMCPMC12356822

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.