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

An analysis-of-variance model for the intrasubject replication design.

J R Gentile1, A H Roden, R D Klein

  • 1State University of New York at Buffalo.

Journal of Applied Behavior Analysis
|July 1, 1972
PubMed
Summary
This summary is machine-generated.

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

Legal developments and practical implications of gene patenting on targeted drug discovery and development.

Clinical pharmacology and therapeutics·2010
Same author

Interleukin-1beta-induced promatrilysin expression is mediated by NFkappaB-regulated synthesis of interleukin-6 in the prostate carcinoma cell line, LNCaP.

Neoplasia (New York, N.Y.)·2002
Same author

Protegrin-1 enhances bacterial killing in thermally injured skin.

Critical care medicine·2001
Same author

Feasibility of biolistic gene therapy in burns.

Shock (Augusta, Ga.)·2001
Same author

Aberrant expression of fibroblast growth factor receptor-1 in prostate epithelial cells allows induction of promatrilysin expression by fibroblast growth factors.

International journal of cancer·2001
Same author

Lipopolysaccharide-binding protein accelerates and augments Escherichia coli phagocytosis by alveolar macrophages.

The Journal of surgical research·2000
Same journal

Latency and persistence of renewal in an intensive outpatient clinic.

Journal of applied behavior analysis·2026
Same journal

The effect of varied versus constant high-probability instructional sequences on cooperation.

Journal of applied behavior analysis·2026
Same journal

Relations between heart rate and precursors: A replication and extension of prior research.

Journal of applied behavior analysis·2026
Same journal

Integrating five linear trend techniques into performance-criteria-based effect size measurements: Impressions and recommendations.

Journal of applied behavior analysis·2026
Same journal

Functional analysis and treatment of higher level restricted repetitive behavior displayed by individuals with autism.

Journal of applied behavior analysis·2026
Same journal

Contingency drives children's vocal behavior.

Journal of applied behavior analysis·2026
See all related articles

Analysis of variance (ANOVA) is appropriate for testing hypotheses in treatment reversal designs. This applies to both single-subject and N-subject experiments, as demonstrated by typical data analyses.

Area of Science:

  • Behavioral science
  • Experimental design
  • Statistical analysis

Background:

  • Treatment reversal designs are common in behavioral research.
  • Statistical analysis of these designs can be complex.
  • Appropriate statistical methods ensure valid hypothesis testing.

Purpose of the Study:

  • To demonstrate the suitability of analysis of variance (ANOVA) for treatment reversal designs.
  • To provide guidance on applying ANOVA to single-subject and N-subject experiments.
  • To illustrate the practical application of these statistical procedures.

Main Methods:

  • Applying one-way ANOVA for single-subject experiments.
  • Applying two-way ANOVA for N-subject experiments.
  • Analyzing typical data sets to demonstrate applicability.

Related Experiment Videos

Main Results:

  • One-way ANOVA is appropriate for single-subject reversal designs.
  • Two-way ANOVA is appropriate for N-subject reversal designs.
  • Data analyses confirmed the utility of these methods.

Conclusions:

  • ANOVA procedures offer a statistically sound approach for analyzing treatment reversal designs.
  • These methods enhance the rigor of hypothesis testing in both individual and group experimental settings.
  • The findings support the use of ANOVA for robust interpretation of reversal design data.