Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Increased reliability for single-case research results: is the bootstrap the answer?

Richard I Parker1

  • 1Department of Psychology, Texas A&M University, TX 77843-4225, USA. rparker@tamu.edu

Behavior Therapy
|October 31, 2006
PubMed
Summary

The bootstrap method significantly enhances the reliability of single-case research (SCR) findings, improving 88% of analyses. This statistical technique is crucial for evidence-based interventions (EBI) and clinical accountability.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reliability of multi-category rating scales.

Journal of school psychology·2013
Same author

Moderating factors of video-modeling with other as model: a meta-analysis of single-case studies.

Research in developmental disabilities·2012
Same author

Combining nonoverlap and trend for single-case research: Tau-U.

Behavior therapy·2011
Same author

Robust regression for single-case data analysis: how can it help?

Behavior research methods·2011
Same author

Effect size in single-case research: a review of nine nonoverlap techniques.

Behavior modification·2011
Same author

A meta-analysis of single case research studies on aided augmentative and alternative communication systems with individuals with autism spectrum disorders.

Journal of autism and developmental disorders·2011

Area of Science:

  • Behavioral Science
  • Psychology
  • Research Methodology

Background:

  • Single-case research (SCR) is vital for evidence-based interventions (EBI) but often faces challenges with data assumptions and reliability.
  • Objective and reliable SCR results are needed for meta-analyses and clinical funding accountability.
  • Traditional statistical methods in SCR can be limited by data characteristics.

Discussion:

  • The bootstrap, a resampling technique, largely bypasses parametric assumptions, offering more reliable results.
  • This study investigated the necessity and impact of the bootstrap on effect size reliability in SCR.
  • The bootstrap was applied to mean shift analyses of 166 published AB graphs.

Key Insights:

  • The bootstrap improved the reliability of 88% of SCR analyses, with only 3% showing reduced reliability.

Related Experiment Videos

  • The reliability improvements were substantial enough for practical application in clinical settings.
  • A data cleansing method for autocorrelation was effectively paired with the bootstrap.

    • Outlook:

    • Findings support the broad adoption of the bootstrap and autocorrelation cleansing in SCR.
    • Further replication is encouraged to solidify these recommendations.
    • Enhanced statistical rigor in SCR can bolster the evidence base for interventions.