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

Brain is related to behavior (p<.05)

K K Zakzanis1

  • 1Department of Psychology, York University, Toronto, Ontario, Canada. zakzanis@yorku.ca

Journal of Clinical and Experimental Neuropsychology
|December 9, 1998
PubMed
Summary
This summary is machine-generated.

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

Motivated to do well: an examination of the relationships between motivation, effort, and cognitive performance in schizophrenia.

Schizophrenia research·2015
Same author

Facial emotion recognition in borderline personality disorder.

Psychological medicine·2012
Same author

Prediction of longitudinal functional outcomes in schizophrenia: the impact of baseline motivational deficits.

Schizophrenia research·2011
Same author

Motivational deficits as the central link to functioning in schizophrenia: a pilot study.

Schizophrenia research·2009
Same author

In vivo neuroanatomy of Alzheimer's disease: evidence from structural and functional brain imaging.

Brain and cognition·2004
Same author

Evidence for a shrinking span of personal and present existence in dementia of the Alzheimer's type.

Brain and cognition·2004

Neuropsychological research relying solely on statistical significance tests can lead to flawed conclusions about brain-behavior relationships. Incorporating effect sizes and meta-analysis provides a more accurate understanding of these connections.

Area of Science:

  • Neuropsychology
  • Psychometrics
  • Biostatistics

Background:

  • Neuropsychological research often relies on statistical significance testing.
  • Quasi-experimental designs are common in brain-behavior relation studies.
  • Sole reliance on significance tests can lead to interpretation errors.

Purpose of the Study:

  • To demonstrate how over-reliance on statistical significance confounds neuropsychological research.
  • To advocate for the integration of effect sizes and meta-analysis in neuropsychological data interpretation.
  • To improve the accuracy of conclusions drawn from brain-behavior studies.

Main Methods:

  • Re-analysis of published neuropsychological findings.
  • Comparison of statistical significance tests with effect size estimation.

Related Experiment Videos

  • Evaluation of interval estimation and meta-analysis techniques.

    • Main Results:

    • Statistical significance testing alone can systematically confound conclusions in neuropsychological research.
    • Point-estimate effect sizes and interval estimation offer more robust interpretations.
    • Meta-analysis is crucial for synthesizing findings across multiple studies.

    Conclusions:

    • Neuropsychological data analysis requires more than just statistical significance.
    • Integrating effect sizes and meta-analysis enhances the validity of brain-behavior relation findings.
    • Consumers of neuropsychological reports benefit from a focus on the magnitude of effects.