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Related Experiment Video

Updated: Jul 16, 2026

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

Using polytomous item response models to assess death anxiety.

Juana Gómez1, M Dolores Hidalgo, Joaquín Tomás-Sábado

  • 1Department of Behavioral Sciences Methodology, University of Barcelona, Spain.

Nursing Research
|March 16, 2007
PubMed
Summary

The Death Anxiety Inventory (DAI) adequately fits the generalized partial credit model, accurately measuring medium to high death anxiety levels. This analysis validates the DAI for clinical use and research on mortality-related psychological consequences.

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Last Updated: Jul 16, 2026

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Area of Science:

  • Psychology
  • Psychometrics

Background:

  • Human attitudes toward death are extensively studied.
  • Psychometric instruments measure death anxiety and its consequences.
  • Individuals with high mortality exposure are often studied.

Purpose of the Study:

  • Analyze the 20-item Death Anxiety Inventory (DAI).
  • Utilize item response theory (IRT).
  • Apply the generalized partial credit model.

Main Methods:

  • Sample: 154 men, 550 women (nurses, doctors, workers, teachers, students, retirees).
  • Instrument: 20-item DAI, Likert-type, six response options.
  • Analysis: Generalized partial credit model.

Main Results:

  • DAI showed adequate fit to the generalized partial credit model.
  • 4 of 20 items had poor model fit.
  • The 20-item DAI effectively differentiates medium/high death anxiety levels.

Conclusions:

  • Generalized partial credit model provides detailed clinical test insights.
  • This IRT approach is advantageous for polytomous tests.
  • The DAI is validated for assessing death anxiety.