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Related Experiment Video

Updated: May 22, 2026

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Small sample research designs for evidence-based rehabilitation: issues and methods.

James E Graham1, Amol M Karmarkar, Kenneth J Ottenbacher

  • 1Division of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX 77555-1137, USA.

Archives of Physical Medicine and Rehabilitation
|May 15, 2012
PubMed
Summary

Small-N research designs offer a valuable alternative to traditional methods for evaluating rehabilitation interventions, particularly for individual patient outcomes. These repeated-measure designs provide insights where large trials are impractical.

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Area of Science:

  • Rehabilitation Research
  • Evidence-Based Practice
  • Clinical Research Methodology

Background:

  • Randomized controlled trials (RCTs) are standard for intervention efficacy but have limitations in rehabilitation settings.
  • Evaluating treatments for individual patients is crucial for evidence-based rehabilitation.
  • Alternative research methods are needed to complement traditional designs.

Purpose of the Study:

  • To examine small-N research designs as an alternative to conventional methods in rehabilitation.
  • To discuss the advantages and limitations of small-N designs.
  • To explore the application of small-N designs in enhancing evidence-based rehabilitation.

Main Methods:

  • Small-N designs involve repeated measurement of outcomes in a small number of participants (typically ≤10).
  • This article reviews various small-N designs.
  • Three examples from rehabilitation literature are used for illustration.

Main Results:

  • Small-N designs allow for detailed examination of individual patient responses to interventions.
  • These designs can provide valuable data when large-scale trials are not feasible.
  • The article outlines the practical application and utility of different small-N approaches.

Conclusions:

  • Small-N designs are a viable and important tool for rehabilitation research, complementing traditional methods.
  • These designs enhance the ability to provide evidence-based care tailored to individual patients.
  • Further exploration of small-N designs can optimize rehabilitation treatment evaluation.