Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

90.0K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
90.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame journal

Computational Modelling Reveals Slower Safety Learning and Threat Extinction are Associated With Higher Anxiety Severity in Remote Fear Conditioning.

Computational psychiatry (Cambridge, Mass.)·2026
Same author

Computational Perspectives on Cognition in Anorexia Nervosa: A Systematic Review.

Computational psychiatry (Cambridge, Mass.)·2025
Same author

Independent replications reveal anterior and posterior cingulate cortex activation underlying state anxiety-attenuated face encoding.

Communications psychology·2024
Same author

Antisocial Learning: Using Learning Window Width to Model Callous-Unemotional Traits?

Computational psychiatry (Cambridge, Mass.)·2024
Same author

Reward Sensitivity and Noise Contribute to Negative Affective Bias: A Learning Signal Detection Theory Approach in Decision-Making.

Computational psychiatry (Cambridge, Mass.)·2024
Same author

Catastrophizing and Risk-Taking.

Computational psychiatry (Cambridge, Mass.)·2024

Related Experiment Video

Updated: Jun 4, 2025

Assessment of Mouse Judgment Bias through an Olfactory Digging Task
12:10

Assessment of Mouse Judgment Bias through an Olfactory Digging Task

Published on: March 4, 2022

2.5K

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

Alexandra C Pike1,2, Katrina H T Tan2, Hoda Tromblee2

  • 1Department of Psychology, University of York, UK.

Computational Psychiatry (Cambridge, Mass.)
|December 23, 2024
PubMed
Summary

This study assessed the reliability of affective bias tasks for measuring changes in depression and anxiety interventions. Results show moderate reliability for standard measures, suggesting potential for improved intervention insights.

Keywords:
affective biasanxietydepressionmeasurementpsychometricstest-retest reliability

More Related Videos

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content
07:21

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

Published on: June 29, 2016

38.4K
A Behavioral Test Battery for the Repeated Assessment of Motor Skills, Mood, and Cognition in Mice
07:18

A Behavioral Test Battery for the Repeated Assessment of Motor Skills, Mood, and Cognition in Mice

Published on: March 2, 2019

19.0K

Related Experiment Videos

Last Updated: Jun 4, 2025

Assessment of Mouse Judgment Bias through an Olfactory Digging Task
12:10

Assessment of Mouse Judgment Bias through an Olfactory Digging Task

Published on: March 4, 2022

2.5K
The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content
07:21

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

Published on: June 29, 2016

38.4K
A Behavioral Test Battery for the Repeated Assessment of Motor Skills, Mood, and Cognition in Mice
07:18

A Behavioral Test Battery for the Repeated Assessment of Motor Skills, Mood, and Cognition in Mice

Published on: March 2, 2019

19.0K

Area of Science:

  • Psychology
  • Neuroscience
  • Clinical Psychology

Background:

  • Affective biases, common in depression and anxiety, involve preferential processing of negative stimuli.
  • Understanding and modifying these biases is crucial for improving mental health interventions.
  • Reliable measurement of affective bias over time is essential for evaluating intervention effectiveness in clinical trials.

Purpose of the Study:

  • To examine the test-retest reliability of two behavioral affective bias tasks: the Ambiguous Midpoint and Go-Nogo tasks.
  • To assess the reliability of both standard summary statistics and computational model parameters.
  • To inform the development of more effective randomized controlled trials for mental health interventions.

Main Methods:

  • An online study involving 58 general population participants.
  • Participants completed the Ambiguous Midpoint and Go-Nogo tasks twice, with a minimum 14-day interval.
  • Reliability was analyzed using Pearson's correlations and intra-class correlations for summary statistics and computational model parameters.

Main Results:

  • Standard summary statistics for affective bias tasks showed moderate reliability (0.18–0.49).
  • Computational model parameters were often less reliable than summary statistics.
  • A generative modeling approach incorporating session covariance improved stability estimates.

Conclusions:

  • Measures derived from these affective bias tasks exhibit moderate test-retest reliability.
  • Further enhancements in task reliability are needed to maximize the informativeness of randomized controlled trials.
  • Improved reliability will enhance the ability to detect changes and draw inferences from intervention studies.