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Related Concept Videos

Post-traumatic Stress Disorder01:27

Post-traumatic Stress Disorder

100
Post-traumatic stress disorder (PTSD) is a psychiatric condition that arises following exposure to traumatic events such as natural disasters, forced displacement, or severe accidents. It significantly impairs individuals' ability to cope with daily activities and disrupts their emotional and psychological equilibrium.
Symptoms and Behavioral Manifestations
A spectrum of distressing symptoms characterizes PTSD. Recurrent flashbacks, where individuals involuntarily relive traumatic events,...
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Self-Report Tests of Personality01:22

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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Harmonizing PTSD severity scales across instruments and sites.

Eamonn Kennedy1, Emily L Dennis1, Hannah M Lindsey1

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This study developed methods to equate scores across different posttraumatic stress disorder (PTSD) measures. Harmonization and covariate adjustments significantly improved data synthesis for PTSD symptom severity.

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Area of Science:

  • Psychiatry and Behavioral Science
  • Data Science
  • Statistical Modeling

Background:

  • Assessing posttraumatic stress disorder (PTSD) utilizes diverse instruments, posing challenges for consistent data analysis and synthesis.
  • A multisite mega-analysis is needed to establish quantitative methods for comparing PTSD severity scores across different assessment tools.

Purpose of the Study:

  • To derive quantitative recommendations for equating scores across various measures of posttraumatic stress disorder (PTSD) severity.
  • To address challenges in data synthesis arising from the variety of PTSD assessment instruments.

Main Methods:

  • Utilized Empirical Bayes harmonization and linear models to mitigate site and covariate effects.
  • Developed quadratic models for score conversion across PTSD assessments, employing bootstrapping and testing on hold-out data.
  • Aggregated data from 17 sources, resulting in a sample of 5,634 individuals assessed for PTSD symptoms.

Main Results:

  • Harmonization and covariate adjustments significantly enhanced the inference of scores across instruments.
  • Cross-dataset variance was substantially reduced by harmonization (28%, p < .001).
  • Models for converting scores demonstrated excellent fit (median R² = 0.985) with a low average root mean squared error (1.46) on sum scores.

Conclusions:

  • Developed methods enable PTSD symptom severity to be standardized across multiple scales.
  • The study provides empirical insights into the utility of harmonization in behavioral science research.
  • Facilitates more robust meta-analyses and data comparisons in PTSD research.