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

Statistical Significance01:37

Statistical Significance

Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
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...
What is an Experiment?01:12

What is an Experiment?

An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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...
Behaviorism01:28

Behaviorism

The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...

You might also read

Related Articles

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

Sort by
Same author

Vigilance on use of drugs, herbal products, and food supplements during pregnancy: focus on fosfomycin.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians·2017
Same author

Laboratory lore and research practices in the experimental analysis of human behavior: Use and abuse of subjects' verbal reports.

The Behavior analyst·2012
Same author

Analyzing the reinforcement process at the human level: can application and behavioristic interpretation replace laboratory research?

The Behavior analyst·2012
Same author

The experimental analysis of human behavior: indispensable, ancillary, or irrelevant?

The Behavior analyst·2012
Same author

The place of the human subject in the operant laboratory.

The Behavior analyst·2012
Same author

On the impact of human operant research: Asymmetrical patterns of cross-citation between human and nonhuman research.

The Behavior analyst·2012
Same journal

An Internal and Critical Review of the PEAK Relational Training System for Children with Autism and Related Intellectual Disabilities: 2014-2017.

The Behavior analyst·2020
Same journal

Self-Control Based on Soft Commitment.

The Behavior analyst·2020
Same journal

Behavioral Pragmatism: Making A Place for Reality and Truth.

The Behavior analyst·2020
Same journal

The Challenges of Integrating Behavioral and Neural Data: Bridging and Breaking Boundaries Across Levels of Analysis.

The Behavior analyst·2020
Same journal

Automating Scoring of Delay Discounting for the 21- and 27-Item Monetary Choice Questionnaires.

The Behavior analyst·2020
Same journal

The Future of Behavior Analysis: Foxes and Hedgehogs Revisited.

The Behavior analyst·2020
See all related articles

Related Experiment Video

Updated: May 23, 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

Statistical inference in behavior analysis: Experimental control is better.

M Perone

    The Behavior Analyst
    |April 6, 2012
    PubMed
    Summary
    This summary is machine-generated.

    Single-subject methods in behavior analysis offer objective, reliable data assessment without complex statistical inference. These methods ensure experimental control and valid treatment effect analysis through replication and visual data interpretation.

    More Related Videos

    A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies
    07:43

    A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies

    Published on: August 4, 2023

    Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
    06:57

    Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE

    Published on: May 14, 2019

    Related Experiment Videos

    Last Updated: May 23, 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

    A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies
    07:43

    A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies

    Published on: August 4, 2023

    Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
    06:57

    Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE

    Published on: May 14, 2019

    Area of Science:

    • Behavior Analysis
    • Experimental Psychology

    Background:

    • Conventional statistical inference is often complex and criticized for its reliance on null-hypothesis testing.
    • Single-subject methods are sometimes perceived as subjective, relying heavily on investigator interpretation.

    Purpose of the Study:

    • To advocate for the strengths of single-subject methods in behavior analysis.
    • To contrast the objectivity and reliability of single-subject methods with conventional statistical inference.

    Main Methods:

    • Emphasizes direct investigator-subject interaction and continuous engagement.
    • Highlights the development of robust experimental control.
    • Utilizes replication within and between subjects for demonstrating treatment effects.

    Main Results:

    • Single-subject methods obviate the need for statistical inference.
    • Visual analysis of data is sufficient and adequate when integrated into sound experimental designs.
    • These methods foster strong experimental practices.

    Conclusions:

    • Single-subject methods provide objective and reliable scientific assessments.
    • They are ideal for ensuring the continued success and rigor of behavior analysis.
    • Advocates for the continued use and development of single-subject experimental practices.