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 Concept Videos

Group Design02:01

Group Design

11.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
11.0K
Cochran's Q Test01:17

Cochran's Q Test

1.1K
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
1.1K
Factorial Design02:01

Factorial Design

15.4K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
15.4K
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

384
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
384
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.6K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.6K
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

4.4K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
4.4K

You might also read

Related Articles

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

Sort by
Same author

A tutorial for software options to aid in assessing functional relations in single-case experimental designs.

Behavior research methods·2026
Same author

Type I error rates and power of two randomization test procedures for the changing criterion design.

Behavior research methods·2023
Same author

Testing delayed, gradual, and temporary treatment effects in randomized single-case experiments: A general response function framework.

Behavior research methods·2023
Same author

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

Behavior modification·2023
Same author

How to assess and take into account trend in single-case experimental design data.

Neuropsychological rehabilitation·2023
Same author

Physical and mental health impact of the COVID-19 pandemic at first year in a Spanish adult cohort.

Scientific reports·2023
Same journal

Characterizing the associations between social determinants of health and functional recovery among pediatric inpatient rehabilitation traumatic brain injury patients.

Developmental neurorehabilitation·2026
Same journal

Three-dimensional motion analysis of upper extremity movements: a review of the differences in children with unilateral cerebral palsy and typically developing children.

Developmental neurorehabilitation·2026
Same journal

Reliability and patient-centered feasibility of the Gross Motor Function Measure in children diagnosed with central nervous system tumor.

Developmental neurorehabilitation·2026
Same journal

Young adults with cerebral palsy as research partners - a qualitative evaluation of a mentoring program.

Developmental neurorehabilitation·2026
Same journal

Development and Preliminary Testing of the Family Outcome of Early Intervention Questionnaire (FOEI) in Early Neurorehabilitation.

Developmental neurorehabilitation·2026
Same journal

Reflections on participation in the community, as self-reported by young people with cerebral palsy.

Developmental neurorehabilitation·2026
See all related articles

Related Experiment Video

Updated: Mar 26, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K

Quantifying differences between conditions in single-case designs: Possible analysis and meta-analysis.

Rumen Manolov1,2, Antonio Solanas1,2

  • 1a Department of Behavioral Sciences Methods , University of Barcelona , Barcelona , Spain.

Developmental Neurorehabilitation
|January 27, 2016
PubMed
Summary
This summary is machine-generated.

This study bridges neurorehabilitation research and practice using single-case experimental designs. It offers statistical methods and free software for analyzing intervention data in children with developmental disorders, enhancing evidence-based practice.

Keywords:
Effect sizemeta-analysissingle-case designsstandardized mean difference

More Related Videos

A Within-Subject Experimental Design using an Object Location Task in Rats
09:28

A Within-Subject Experimental Design using an Object Location Task in Rats

Published on: May 6, 2021

5.4K
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

11.6K

Related Experiment Videos

Last Updated: Mar 26, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K
A Within-Subject Experimental Design using an Object Location Task in Rats
09:28

A Within-Subject Experimental Design using an Object Location Task in Rats

Published on: May 6, 2021

5.4K
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

11.6K

Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Developmental Psychology

Background:

  • A significant gap exists between basic research findings and their application in clinical neurorehabilitation practice.
  • Effective translation of research into practice requires robust methodologies and clear analytical guidelines.

Purpose of the Study:

  • To bridge the gap between basic research and professional practice in neurorehabilitation.
  • To illustrate and advocate for the use of single-case experimental designs (SCEDs) in neurorehabilitation.
  • To provide guidance on statistical analysis of SCED data and its integration into meta-analyses.

Main Methods:

  • Highlighting single-case experimental designs (SCEDs) and their established guidelines.
  • Reviewing two statistical analysis options: difference indices and a formal statistical procedure.
  • Illustrating data analysis feasibility using free software with behavioral intervention data from children with developmental disorders.

Main Results:

  • Informative data analyses are feasible using recommended statistical methods and free software.
  • Individual study results can be prepared for meta-analyses to strengthen the evidence base for interventions.
  • Key decisions in the data analysis process are identified.

Conclusions:

  • The proposed methods facilitate the integration of research findings into neurorehabilitation practice.
  • Standardized analysis of SCED data enhances the reliability and comparability of intervention outcomes.
  • This approach supports evidence-based practice and informs future research in neurorehabilitation.