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

Bootstrapping: applications to psychophysiology.

S Wasserman, U Bockenholt

    Psychophysiology
    |March 1, 1989
    PubMed
    Summary
    This summary is machine-generated.

    The bootstrap is a statistical method for analyzing complex data distributions. This resampling technique, useful for psychophysiology, aids in calculating confidence intervals and standard errors.

    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

    High-flow nasal oxygen in resource-constrained, non-intensive, high-care wards for COVID-19 acute hypoxaemic respiratory failure: Comparing outcomes of the first v. third waves at a tertiary centre in South Africa.

    African journal of thoracic and critical care medicine·2024
    Same author

    Evaluating newly approved drugs for multidrug-resistant tuberculosis (endTB): study protocol for an adaptive, multi-country randomized controlled trial.

    Trials·2021
    Same author

    The mechanics of setting up a COVID-19 response: Experiences of the COVID-19 epidemic from Groote Schuur Hospital, Cape Town, South Africa.

    South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2020
    Same author

    Clinical management of COVID-19: Experiences of the COVID-19 epidemic from Groote Schuur Hospital, Cape Town, South Africa.

    South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2020
    Same author

    Clinical perspectives on treatment of rifampicin-resistant/multidrug-resistant TB.

    The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2020
    Same author

    COVID-19: Convalescent plasma as a potential therapy.

    South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2020
    Same journal

    Neural Sensitivity to Conversational Inter-Speaker Gaps in the Broad Autism Phenotype.

    Psychophysiology·2026
    Same journal

    Open Communication Can Lead to Equivalent EEG Data Quality for Black Women: Multilevel Modeling Interindividual Differences on Emotional Scene and Face Perception.

    Psychophysiology·2026
    Same journal

    What's in a Mean? Comparing Interbeat Interval Averaging Methods Across Variability Levels and Window Lengths.

    Psychophysiology·2026
    Same journal

    Model-Free and Model-Based Learning in Human Fear Conditioning.

    Psychophysiology·2026
    Same journal

    Examining the Impact of Acute Exercise and Arousal Reappraisal on Stressor-Evoked Psychological and Cardiovascular Responses.

    Psychophysiology·2026
    Same journal

    Respiratory Sinus Arrhythmia and Hierarchical Dimensions of Psychopathology.

    Psychophysiology·2026
    See all related articles

    Area of Science:

    • Psychophysiology
    • Statistical Methods
    • Data Analysis

    Background:

    • The bootstrap is a statistical resampling technique introduced by Efron (1979).
    • It enables the study of sample statistic distributions that are otherwise complex.
    • The technique is comparable to the jackknife method.

    Purpose of the Study:

    • To introduce the bootstrap statistical technique to psychophysiologists.
    • To explain the theory and application of the bootstrap method.
    • To demonstrate the bootstrap's utility in analyzing correlation coefficients and general linear models.

    Main Methods:

    • The bootstrap involves drawing repeated samples with replacement from empirical data.
    • A distribution for a statistic is constructed by calculating its value for each resampled dataset.

    Related Experiment Videos

  • This method requires simple calculations.

    • Main Results:

    • The bootstrap can be used to derive confidence intervals and standard errors.
    • It allows for the estimation of higher moments of a statistic's distribution.
    • The paper illustrates its application in statistical analyses.

    Conclusions:

    • The bootstrap is a versatile and accessible statistical tool for psychophysiological research.
    • It simplifies the analysis of complex statistical distributions.
    • The technique is valuable for deriving key statistical measures like confidence intervals.