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Related Experiment Videos

Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM.

Joseph P Weir1

  • 1Applied Physiology Laboratory, Division of Physical Therapy, Des Moines University-Osteopathic Medical Center, Des Moines, Iowa 50312, USA. joseph.weir@dmn.edu

Journal of Strength and Conditioning Research
|February 12, 2005
PubMed
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Reliability in movement science is often measured using the intraclass correlation coefficient (ICC) and standard error of measurement (SEM). Understanding ICC versions and SEM utility is crucial for accurate interpretation of measurement consistency.

Area of Science:

  • Movement Sciences
  • Biostatistics
  • Measurement Theory

Background:

  • Reliability, or measurement consistency, is vital in movement science.
  • Intraclass correlation coefficient (ICC) and standard error of measurement (SEM) are common metrics.
  • Confusion exists regarding appropriate ICC selection and SEM application.

Purpose of the Study:

  • To clarify classic reliability theory for choosing and interpreting ICCs.
  • To explain the distinction between ICC equations based on systematic error inclusion.
  • To highlight the utility of SEM in interpreting measurement error.

Main Methods:

  • Review of classic reliability theory.
  • Analysis of ICC equations, distinguishing between those including (2,1 and 2,k) or excluding (3,1 and 3,k) systematic error.

Related Experiment Videos

  • Discussion of inferential tests for detecting systematic error.

    • Main Results:

    • Systematic error detection via inferential tests informs ICC selection.
    • Measurement schedules can be modified to remove systematic error, allowing use of random-error-only ICCs.
    • SEM and its variants aid in constructing confidence intervals and determining minimal detectable change.

    Conclusions:

    • Proper ICC selection and SEM application enhance the interpretation of reliability in movement science.
    • Understanding measurement error is key for accurate sample size, statistical power, and correlation estimations.
    • SEM provides practical tools for assessing individual score reliability and true performance changes.