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

Sample size requirements for reliability studies.

A Donner, M Eliasziw

    Statistics in Medicine
    |June 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

    This study offers power contours to aid reliability study planning. These contours help determine the necessary number of subjects and repeated measurements for achieving 80% power in intraclass correlation coefficient reliability studies.

    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

    Reaction to at-home air purifiers installed to reduce traffic-related air pollution in near-highway residences.

    Trials·2024
    Same author

    Nutrient adequacy, dietary patterns and diet quality among children with and without intellectual disabilities.

    Journal of intellectual disability research : JIDR·2021
    Same author

    Self-Diffusion in Amorphous Silicon by Local Bond Rearrangements.

    Physical review letters·2018
    Same author

    Collaborative Evaluation of the Healthy Habits Program: An Effective Community Intervention to Improve Mobility and Cognition of Chinese Older Adults Living in the U.S.

    The journal of nutrition, health & aging·2016
    Same author

    Application and a proposed modification of the 2010 McDonald criteria for the diagnosis of multiple sclerosis in a Canadian cohort of patients with clinically isolated syndromes.

    Multiple sclerosis (Houndmills, Basingstoke, England)·2013
    Same author

    Propensity scores used for analysis of cluster randomized trials with selection bias: a simulation study.

    Statistics in medicine·2013
    Same journal

    Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

    Statistics in medicine·2026
    Same journal

    Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

    Statistics in medicine·2026
    Same journal

    Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

    Statistics in medicine·2026
    Same journal

    A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

    Statistics in medicine·2026
    Same journal

    Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

    Statistics in medicine·2026
    Same journal

    Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

    Statistics in medicine·2026
    See all related articles

    Area of Science:

    • Statistics
    • Biostatistics
    • Reliability Studies

    Background:

    • Reliability studies are crucial for assessing measurement consistency.
    • The intraclass correlation coefficient (ICC) is a key metric for reliability.
    • Planning reliability studies requires adequate statistical power.

    Purpose of the Study:

    • To provide exact power contours for planning reliability studies.
    • To guide the selection of sample size (k subjects) and repeated measurements (n) for ICC estimation.
    • To ensure adequate statistical power (80%) for hypothesis testing regarding the ICC.

    Main Methods:

    • Utilized a one-way analysis of variance (ANOVA) model.
    • Derived exact power contours based on the ICC.
    • Presented contours for testing hypotheses about the ICC at a 5% significance level.

    Related Experiment Videos

    Main Results:

    • The power contours visually display the relationship between sample size, number of measurements, and statistical power.
    • Specific contours are provided for achieving 80% power for various ICC values.
    • The results facilitate informed decisions on study design parameters.

    Conclusions:

    • The provided power contours are valuable tools for researchers designing reliability studies.
    • Efficient planning of sample size and repeated measurements can be achieved using these contours.
    • This approach enhances the rigor and validity of reliability assessments.