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

Statistical testing and null distributions: what to do when samples are not random.

Michael A Hunter1, Richard B May

  • 1University of Victoria.

Canadian Journal of Experimental Psychology = Revue Canadienne De Psychologie Experimentale
|November 5, 2003
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

Investigating the brain regions involved in tDCS-Enhanced category learning using finite element modeling.

Neuroimage. Reports·2025
Same author

Potential Health and Performance Effects of High-Level and Low-Level Blast: A Scoping Review of Two Decades of Research.

Frontiers in neurology·2021
Same author

Cerebral Perfusion Effects of Cognitive Training and Transcranial Direct Current Stimulation in Mild-Moderate TBI.

Frontiers in neurology·2020
Same author

Associations and Heritability of Auditory Encoding, Gray Matter, and Attention in Schizophrenia.

Schizophrenia bulletin·2018
Same author

Mindfulness-based training with transcranial direct current stimulation modulates neuronal resource allocation in working memory: A randomized pilot study with a nonequivalent control group.

Heliyon·2018
Same author

Identifying auditory cortex encoding abnormalities in schizophrenia: The utility of low-frequency versus 40 Hz steady-state measures.

Psychophysiology·2018
Same journal

The costs and benefits of mind-wandering: 13 Years on.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2026
Same journal

Can computational sentiment analysis classify autobiographical memories? Comparing VADER and TextBlob.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2026
Same journal

Development of enumeration processes for kindergarten children: Evidence from eye-tracking data.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2026
Same journal

Differential sensitivity to outcome valence reveals two classes of shift behaviour related to exploitation and exploration.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2026
Same journal

Effects of valence and list composition on memory predictions, performance, and beliefs.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2026
Same journal

Differential response to cognitive stimulation in moderate versus moderately severe Alzheimer's disease.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2026
See all related articles

Parametric and nonparametric statistical inference models differ fundamentally in hypotheses, probability concepts, and conclusions. Cognitive scientists should understand these distinctions for appropriate analysis method selection, especially favoring nonparametric approaches.

Area of Science:

  • Statistics
  • Cognitive Science

Background:

  • Statistical inference involves parametric and nonparametric approaches.
  • Understanding the theoretical underpinnings of these methods is crucial for accurate data analysis.

Purpose of the Study:

  • To compare the theoretical models of parametric and nonparametric statistical inference.
  • To highlight the implications of choosing between these analytical methods for cognitive science research.

Main Methods:

  • Review of selected literature on statistical testing.
  • Comparison of theoretical models, hypotheses, probability concepts, and null distributions.

Main Results:

  • Parametric and nonparametric models evaluate different hypotheses and are based on distinct probability concepts.

Related Experiment Videos

  • The choice of statistical model impacts substantive conclusions drawn from research.

    • Conclusions:

    • Cognitive scientists must appreciate the differences between parametric and nonparametric inference.
    • Nonparametric methods, particularly permutation/randomization, are often more suitable for cognitive science research designs.