OPQ32i Forced-Choice Questionnaire Data Analyzed with IRT

A psychometric dataset from the OPQ32i personality questionnaire used internationally for selection and assessment. The data is analyzed using an Item Response Theory (IRT) Preference Model to improve efficiency and score quality. The research demonstrates that latent scores from a reduced number of forced-choice items can be superior to traditional ipsative scores.

Use Cases

• Developing more efficient forced-choice personality tests based on the IRT Preference Model approach described.
• Comparing the validity of ipsative versus latent normative scores as referenced in the research.
• Researching methods to mitigate impression management effects in questionnaire data as mentioned in the description.

Strengths

• Data is from the OPQ32i, a questionnaire used internationally for selection and assessment.
• Research demonstrates a method to recover superior latent scores from a reduced number of items.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• License is closed, restricting open use and redistribution.

Provenance

Source

Anna Brown, via paperswithcode.

Collection Method

Analysis of the OPQ32i questionnaire using an IRT Preference Model.

Time Range

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Freshness

Last update date is unknown; freshness unverified.

Geography

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