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On the Information Obtainable from Comparative Judgments.

Paul-Christian Bürkner1

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Summary

Comparative judgment personality tests can reduce faking in high-stakes situations. New Thurstonian IRT models and optimal test designs yield accurate trait score estimates for individual diagnosis.

Keywords:
Comparative judgmentsThurstonian IRT modelsfaking resistanceforced-choice formatoptimal experimental designordinal models

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Area of Science:

  • Psychometrics and Personality Assessment
  • Statistical Modeling in Psychology
  • High-Stakes Testing Methodologies

Background:

  • Traditional Likert scales face challenges with response faking in high-stakes personality assessments.
  • Existing research indicates difficulty in achieving both faking resistance and diagnostic accuracy with comparative judgments.
  • Thurstonian Item Response Theory (IRT) models offer a potential framework for analyzing comparative data.

Purpose of the Study:

  • To investigate the utility of Thurstonian IRT models for analyzing comparative personality judgments.
  • To develop optimal test designs for comparative judgment formats to enhance trait score accuracy.
  • To determine if comparative judgments can yield accurate, faking-resistant personality measures for individual diagnostics.

Main Methods:

  • Extension of the mathematical theory for ordinal comparative judgments and Thurstonian IRT models.
  • Development of optimal test designs using frequentist and Bayesian statistical approaches.
  • Derivation of analytic upper bounds for trait estimate accuracy.
  • Conducting numerical experiments to validate theoretical findings.

Main Results:

  • The study provides theoretical advancements in modeling ordinal comparative judgments.
  • Optimal test designs were identified to maximize the accuracy of trait score estimates.
  • Analytic bounds confirm the potential for high accuracy in trait estimation.
  • Numerical experiments support the feasibility of the proposed methods.

Conclusions:

  • Personality tests using comparative judgments, analyzed with Thurstonian IRT models, can achieve sufficient accuracy for individual-level diagnostics.
  • These methods effectively reduce response faking in high-stakes testing scenarios.
  • Practical recommendations are provided for implementing comparative judgment personality tests.