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

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 the two are due to...
Study Design in Statistics01:15

Study Design in Statistics

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...
Experimental Designs01:16

Experimental Designs

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...
Factorial Design02:01

Factorial Design

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...
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

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...
Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.

You might also read

Related Articles

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

Sort by
Same author

Modifying a naturalistic language intervention for use in an elementary school classroom.

Autism & developmental language impairments·2022
Same author

Parental Adherence to Home Activities in Early Intervention for Young Children With Delayed Motor Development.

Physical therapy·2021
Same author

Single-Case Experimental Design: Current Standards and Applications in Occupational Therapy.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association·2017
Same author

Erratum to: Promoting Expressive Language in Young Children with or At-Risk for Autism Spectrum Disorder in a Preschool Classroom.

Journal of autism and developmental disorders·2016
Same author

Promoting Expressive Language in Young Children with or At-Risk for Autism Spectrum Disorder in a Preschool Classroom.

Journal of autism and developmental disorders·2016
Same author

Video Modeling and Observational Learning to Teach Gaming Access to Students with ASD.

Journal of autism and developmental disorders·2016

Related Experiment Video

Updated: May 9, 2026

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

Visual analysis in single case experimental design studies: brief review and guidelines.

Justin D Lane1, David L Gast

  • 1a Department of Special Education , The University of Georgia , Athens , GA , USA.

Neuropsychological Rehabilitation
|July 26, 2013
PubMed
Summary

This study explains how to visually analyze data from single-case experimental designs (SCED). Proper visual analysis ensures reliable interpretations of intervention effects, crucial for research validity.

Keywords:
Single case experimental designVisual analysis

More Related Videos

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

Related Experiment Videos

Last Updated: May 9, 2026

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

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
07:12

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

Published on: August 26, 2016

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

Area of Science:

  • Behavioral analysis
  • Research methodology
  • Single-case experimental design (SCED)

Background:

  • Visual analysis of graphed data is fundamental in SCED research.
  • Accurate interpretation of intervention effects relies on systematic data analysis.
  • Understanding data trends, level, and stability across conditions is essential.

Purpose of the Study:

  • To provide a rationale for using visual analysis in SCED.
  • To offer a step-by-step guide for conducting visual data analysis.
  • To emphasize the importance of reliability and fidelity data collection.

Main Methods:

  • Describing the process of visually inspecting graphed data.
  • Assessing data characteristics such as trend, level, and stability.
  • Outlining procedures for within- and between-condition analysis.

Main Results:

  • Visual analysis, when conducted systematically, supports reliable interpretation of SCED data.
  • The paper provides a framework for researchers to apply visual analysis effectively.
  • Emphasis is placed on the necessity of collecting data on measurement reliability and implementation fidelity.

Conclusions:

  • Systematic visual analysis is critical for valid interpretations in SCED.
  • Researchers must adhere to established procedures for accurate data assessment.
  • Collecting reliability and fidelity data enhances the rigor of SCED studies.