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Related Experiment Video

Updated: Jun 30, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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Evaluating Paired Categorical Data when the Pairing is Lost.

R N Montgomery1, A S Watts2, N C Burns3

  • 1The University of Kansas Medical Center, Department of Biostatistics, Kansas City, KS.

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|March 20, 2024
PubMed
Summary

This study assessed the Self-Revelatory Performance intervention's impact on Alzheimer's disease perceptions. A modified bootstrap approach found evidence the intervention significantly influenced participants' views.

Keywords:
Affect GridAlzheimer’s diseaseBootstrapCenter of Mass

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Area of Science:

  • Psychology
  • Neuroscience
  • Public Health

Background:

  • Assessing interventions for Alzheimer's disease perceptions is crucial.
  • Data integrity issues, such as lost pairing in experimental designs, can complicate analysis.
  • The Self-Revelatory Performance intervention aimed to alter views on Alzheimer's disease.

Purpose of the Study:

  • To evaluate the effectiveness of the Self-Revelatory Performance intervention.
  • To determine if the intervention impacted participants' perceptions of Alzheimer's disease.
  • To address challenges posed by lost data pairing in the study design.

Main Methods:

  • Utilized a modified bootstrap approach to analyze pre- and post-intervention data.
  • Employed an Affect grid to measure participant responses before and after the intervention.
  • Calculated the distance between the Centers of Mass of the Affect Grids as the test statistic.

Main Results:

  • The modified bootstrap approach allowed for the creation of a null hypothesized distribution.
  • The null hypothesis was rejected, indicating a statistically significant effect.
  • Evidence suggests the intervention altered participants' perceptions of Alzheimer's disease.

Conclusions:

  • The Self-Revelatory Performance intervention demonstrated a significant influence on perceptions of Alzheimer's disease.
  • The modified bootstrap method proved effective in handling lost data pairing.
  • This study provides valuable insights into intervention strategies for Alzheimer's disease perception.