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Systematic Review of Descriptions and Justifications Provided for Single-Case Quantification Techniques.

Joelle Fingerhut1, Mariola Moeyaert2, Rumen Manolov3

  • 1Marist College, Poughkeepsie, NY, USA.

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Researchers often struggle to choose and justify quantification techniques for single-case designs. This review found common methods like non-overlap indices, but descriptions were often vague, impacting research credibility.

Keywords:
justificationquantification techniquereporting standardssingle-case design

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Area of Science:

  • Behavioral Science
  • Research Methodology

Background:

  • Single-case designs are crucial in behavioral research.
  • Numerous quantification techniques exist for analyzing single-case data.
  • Choosing and justifying these techniques can be challenging for researchers.

Purpose of the Study:

  • To systematically review quantification techniques used in single-case designs.
  • To examine the quality of descriptions and justifications provided for these techniques.
  • To enhance the credibility and replicability of single-case research.

Main Methods:

  • Systematic literature review of 218 articles.
  • Analysis of 290 instances of quantification technique application.
  • Examination of provided descriptions and justifications for chosen techniques.

Main Results:

  • Non-overlap indices are frequently used quantification techniques.
  • Descriptions and justifications for technique selection were often vague or subjective.
  • Inconsistent reporting hinders the evaluation of quantification technique appropriateness.

Conclusions:

  • Single-case researchers should use objective and appropriate descriptions and justifications for quantification techniques.
  • Complementing visual analysis with well-justified quantification is recommended.
  • Utilizing guiding tools for technique selection can improve reporting standards.