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A computer program for calculating different kinds of intraclass correlation coefficients

J Werner

    Computer Programs in Biomedicine
    |June 1, 1977
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a program for calculating intraclass correlation coefficients, providing unbiased estimates and confidence limits. It also computes Krippendorff

    Area of Science:

    • Statistics
    • Psychometrics
    • Social Sciences

    Background:

    • Intraclass correlation coefficients (ICCs) are crucial for assessing inter-rater reliability and agreement.
    • Calculating precise ICC estimates and their confidence intervals is essential for robust statistical inference.
    • Existing methods may not fully address the decomposition of variance or specific reliability models.

    Purpose of the Study:

    • To present a computational program for various forms of intraclass correlation coefficients.
    • To provide unbiased estimates and confidence limits for ICCs with derivable sampling distributions.
    • To compute Krippendorff's model-based coefficients for specifying error components.

    Main Methods:

    • Development of a software program for ICC calculation.

    Related Experiment Videos

  • Application of statistical methods for deriving unbiased estimates and confidence intervals.
  • Implementation of Krippendorff's model for error component analysis.

    • Main Results:

    • The program calculates multiple forms of intraclass correlation coefficients.
    • Unbiased estimates and confidence limits are provided where exact sampling distributions exist.
    • Coefficients derived from Krippendorff's model allow for the specification of error sources.

    Conclusions:

    • The developed program offers a comprehensive tool for calculating and interpreting intraclass correlation coefficients.
    • It facilitates more accurate reliability assessments by providing precise estimates and confidence intervals.
    • The inclusion of Krippendorff's model enhances the diagnostic capability for understanding sources of disagreement.