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Considerations when designing, analyzing, and reporting reliability studies.

Paul Stratford1, Gregory F Spadoni1, Ayse Kuspinar1

  • 1School of Rehabilitation Science, Faculty of Health Science, McMaster University, Hamilton, Ontario, Canada.

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Summary

This masterclass guides researchers in designing and reporting reliable physical therapy studies. It emphasizes clear purpose statements, appropriate design, and coherent results for better scientific rigor.

Keywords:
MeasurementMethodsRehabilitationReliabilityResearch designStatistics

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Area of Science:

  • Physical Therapy Research
  • Measurement Science

Background:

  • Reliability studies in physical therapy have advanced significantly over time.
  • Inconsistent reporting of study purpose, design, analysis, sample size, and results is common.
  • Vague purpose statements and limitations in statistical software contribute to reporting inconsistencies.

Purpose of the Study:

  • To offer guidance and resources for structuring coherent reliability study designs.
  • To aid investigators in the clear presentation of reliability study results.

Main Methods:

  • This masterclass focuses on conceptual considerations for study design and reporting.
  • It does not involve new empirical data collection or analysis.

Main Results:

  • Clear distinction between hypothesis testing and parameter estimation is crucial.
  • Appropriate labeling of study design is essential for accurate interpretation.
  • Defining the scope of raters (specific vs. representative) impacts study design.
  • Sample size calculations must align with the study's specific purpose.
  • Reported results should directly correspond to the study's purpose and design.

Conclusions:

  • Framing a study purpose that clearly distinguishes between hypothesis testing and parameter estimation is vital.
  • Appropriately labeling the study design enhances clarity and reproducibility.
  • Specifying whether raters are the sole focus or represent a larger group is important.
  • Utilizing sample size calculations consistent with the study purpose is necessary.
  • Reporting results that align with the study purpose and design ensures coherence.