Test-Retest Reliability of Two Computationally-Characterised Affective Bias Tasks
2024

Reliability of Affective Bias Tasks

Sample size: 58 publication Evidence: moderate

Author Information

Author(s): Pike Alexandra C., Tan Katrina H. T., Tromblee Hoda, Wing Michelle, Robinson Oliver J.

Primary Institution: University College London, UK

Hypothesis

The study aims to examine the test-retest reliability of two affective bias tasks.

Conclusion

The study concludes that measures from these affective bias tasks are moderately reliable, but further work is needed to improve their reliability.

Supporting Evidence

  • Summary statistics showed generally moderate to good test-retest reliability.
  • Parameters from computational modeling were often less reliable than summary statistics.
  • Embedding the covariance matrix within the estimation procedure increased reliability estimates.

Takeaway

This study looked at how consistently people perform on tasks that measure their emotional biases over time, finding that the tasks are somewhat reliable but could be better.

Methodology

Participants completed two affective bias tasks twice, with at least 14 days between sessions, and their performance was analyzed using Pearson’s correlations and intra-class correlations.

Potential Biases

Participants who were inattentive were excluded, which may introduce bias as inattention is a symptom of anxiety and mood disorders.

Limitations

The study used only two tasks, which may not generalize to all affective bias measures, and the sample size may limit the precision of reliability estimates.

Participant Demographics

Participants had a mean age of 28, with 34 females, 23 males, and 1 nonbinary individual.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.5334/cpsy.92

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