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Randomized single-subject experimental designs

E S Edgington¹

¹Department of Psychology, University of Calgary, Alberta, Canada.

Behaviour Research and Therapy

|July 1, 1996

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This study highlights the critical role of randomization in single-subject research for valid statistical inference. It introduces randomization tests and designs to improve internal validity in experiments.

Area of Science:

Behavioral Science
Experimental Psychology
Research Methodology

Background:

Traditional single-subject methodology texts often omit randomization and randomization tests.
This omission leaves researchers unaware of randomization's importance for valid statistical inference.
Existing literature inadequately covers randomization's role in controlling threats to internal validity.

Purpose of the Study:

To explain the necessity of randomization in single-subject research.
To introduce randomized single-subject designs and their applications.
To provide guidance on statistical tests, including randomization tests, for single-subject experiments.

Main Methods:

The article explains the function of randomization in controlling internal validity threats.

Related Experiment Videos

It presents various randomized single-subject designs and their practical uses.

Appropriate rank tests are identified, and resources for statistical software are supplied.

Main Results:

Randomization is essential for drawing statistically valid inferences about treatment effects in single-subject studies.
Randomized designs enhance control over major threats to internal validity.
Specific statistical tests and software are recommended for analyzing randomized single-subject data.

Conclusions:

Incorporating randomization and randomization tests strengthens single-subject experimental designs.
Researchers can improve the validity of their findings by employing these methods.
This work provides a foundation for utilizing randomization in single-subject research.