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

Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Study Design in Statistics01:15

Study Design in Statistics

7.5K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
7.5K
Odds Ratio01:09

Odds Ratio

2.3K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
2.3K
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

419
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...
419
Regression Analysis01:11

Regression Analysis

7.2K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
7.2K
Experimental Designs01:16

Experimental Designs

11.3K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
11.3K

You might also read

Related Articles

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

Sort by
Same author

Examining differential effects of an equity-focused schoolwide positive behavioral interventions and supports approach on teachers' equity in school discipline.

Journal of school psychology·2024
Same author

Proficiency With Number Concepts and Operations: Replicating the Efficacy of a First-Grade Mathematics Intervention.

Journal of learning disabilities·2023
Same author

Legalization and retail availability of recreational marijuana and adolescent use in schools.

Health economics·2023
Same author

Enhanced Performance of Artificial-Neural-Network-Based Equalization for Short-Haul Fiber-Optic Communications.

Sensors (Basel, Switzerland)·2023
Same author

Social consequences of educational measures: A commentary.

School psychology (Washington, D.C.)·2023
Same author

Single-case intervention research design standards: Additional proposed upgrades and future directions.

Journal of school psychology·2023
Same journal

Mental fatigue after traumatic brain injury: Exploring different determinants across severity levels.

Neuropsychological rehabilitation·2026
Same journal

Improving autobiographical episodic memory, quality of life, and sense of self with a smartphone intervention in early dementia: A case study.

Neuropsychological rehabilitation·2026
Same journal

Music-based interventions for aphasia: A systematic review of clinical approaches and musical components in expressive language rehabilitation.

Neuropsychological rehabilitation·2026
Same journal

Toward clinical implementation of free visual exploration in neglect diagnostics: Reference data and psychometric properties across adulthood.

Neuropsychological rehabilitation·2026
Same journal

Comparing approaches to treating anomia in early Alzheimer's disease: Network model-based method vs. embodied cognition method.

Neuropsychological rehabilitation·2026
Same journal

Creating a shared narrative: A qualitative study on the impact of nurse-written ICU diaries for TBI-survivors and their family caregivers.

Neuropsychological rehabilitation·2026
See all related articles

Related Experiment Video

Updated: May 3, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

3.1K

Regression models and effect size measures for single case designs.

Hariharan Swaminathan1, H Jane Rogers, Robert H Horner

  • 1a University of Connecticut , NEAG School of Education , Storrs , CT , USA.

Neuropsychological Rehabilitation
|February 19, 2014
PubMed
Summary
This summary is machine-generated.

This paper introduces a regression modeling approach for single case designs (SCDs), addressing serial dependence and providing a new effect size measure for interventions with level and trend changes.

Keywords:
AutocorrelationEffect sizeGeneralised least Squares EstimatorsRegression modelsSingle case designs

More Related Videos

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.3K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

2.9K

Related Experiment Videos

Last Updated: May 3, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

3.1K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

16.3K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

2.9K

Area of Science:

  • Behavioral Science
  • Psychology
  • Research Methodology

Background:

  • Single case designs (SCDs) are crucial for evaluating interventions.
  • Traditional analysis methods struggle with serial dependence and complex effect sizes in SCDs.
  • Existing effect size measures are limited, especially when interventions alter both level and trend.

Purpose of the Study:

  • To present a novel regression modeling approach for analyzing single case designs (SCDs).
  • To address the challenges of serial dependence and develop an appropriate effect size measure for SCDs.
  • To provide an inferential procedure for intervention effect assessment in SCDs.

Main Methods:

  • Utilizes regression modeling to account for serial dependence in SCD data.
  • Develops a new effect size measure that integrates changes in both level and slope.
  • Compares the proposed effect size to traditional d-type measures from between-subjects designs.
  • Outlines an inferential procedure for intervention effect evaluation.

Main Results:

  • The proposed regression approach effectively handles serial dependence in SCD data.
  • A new, comparable effect size measure is introduced for interventions with level and trend changes.
  • The inferential procedure allows for robust assessment of intervention impact.

Conclusions:

  • The presented regression modeling approach offers a robust method for SCD analysis.
  • The novel effect size measure enhances the evaluation of interventions in SCDs.
  • This methodology improves the scientific rigor and interpretability of SCD research.