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 Experiment Videos

Quantifying dissociations in neuropsychological research.

Elizabeth Bates1, Mark Appelbaum, Jesus Salcedo

  • 1Center for Research in Language, University of California, San Diego, La Jolla, CA 92093-0526, USA. bates@crl.ucsd.edu

Journal of Clinical and Experimental Neuropsychology
|October 21, 2003
PubMed
Summary

This study introduces a statistical method to identify double dissociations in neuropsychology by accounting for measure correlations. This approach improves the accuracy of detecting dissociations, especially in highly correlated measures.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Who is the Victim and Who is the Perpetrator? The Influence of Gender Stereotypes on Bidirectional Intimate Partner Violence Scenario.

Journal of interpersonal violence·2026
Same author

The effect of a School Street intervention on children's active travel, satisfaction with their street, and perception of road safety: a natural experimental evaluation.

BMC public health·2025
Same author

Unconventionally trendy: The pluralistic endeavour of Cortex into the human cognitive neurosciences.

Cortex; a journal devoted to the study of the nervous system and behavior·2023
Same author

Understanding the patterns and health impact of indoor air pollutant exposures in Bradford, UK: a study protocol.

BMJ open·2023
Same author

Effectiveness of the COVID-19 vaccines on preventing symptomatic SARS-CoV-2 infections and hospitalizations in Southwestern Alaska, January-December 2021.

Vaccine·2023
Same author

The impact of epilepsy on quality of life: Findings from a European survey.

Epilepsy & behavior : E&B·2023

Area of Science:

  • Neuropsychology
  • Statistics
  • Cognitive Neuroscience

Background:

  • Double dissociations are crucial in neuropsychology for inferring functional specialization.
  • Traditional methods often rely on subjective performance thresholds, ignoring statistical probabilities and inter-measure correlations.

Purpose of the Study:

  • To introduce and validate a statistical procedure for identifying double dissociations that incorporates the correlation between measures.
  • To compare different quantitative definitions of dissociations using this new statistical framework.

Main Methods:

  • Developed a statistical procedure to calculate the probability of a double dissociation, considering the correlation between two measures.
  • Applied and compared various dissociation definitions to two large neurological patient samples.

Related Experiment Videos

  • Utilized four pairs of neuropsychological measures (language and hemispatial neglect) with varying intercorrelations (+.21 to +.84).

    • Main Results:

    • The proposed statistical method provides a more accurate probability of double dissociations by accounting for inter-measure correlations.
    • Failure to consider correlations can lead to missing significant dissociations, particularly with highly correlated measures.
    • Qualitative differences emerged in patient classification based on different dissociation definitions.

    Conclusions:

    • A statistically rigorous approach to identifying double dissociations is essential for accurate neuropsychological inference.
    • The proposed method enhances the detection of dissociations, especially in cases with high measure intercorrelation.
    • This framework offers a more objective and reliable way to define and identify dissociations in patient populations.