Related Experiment Video
Updated: Sep 22, 2025
08:33
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
Published on: September 4, 2019
7.1K
Performance criteria-based effect size (PCES) measurement of single-case experimental designs: A real-world data
1Anadolu University, Turkey.
Journal of Applied Behavior Analysis
|May 20, 2022
Summary
A new performance criteria-based effect size (PCES) for single-case experimental designs (SCEDs) was developed. PCES offers a quantitative approach to assess behavior change, complementing visual analysis and addressing limitations of nonoverlap methods.
Area of Science:
- Behavioral analysis
- Single-case experimental designs (SCEDs)
Background:
- Visual analysis and nonoverlap-based effect sizes are standard for SCEDs but have limitations.
- Existing nonoverlap measures may not fully capture socially important behavioral changes.
Purpose of the Study:
- Introduce a novel effect size calculation model for SCEDs: performance criteria-based effect size (PCES).
- Address limitations of current nonoverlap-based effect size measures.
- Provide a quantitative complement to visual analysis in SCEDs.
Main Methods:
- Developed the performance criteria-based effect size (PCES) model.
- Utilized data from 1,052 AB phases across 6 journals for field testing.
- Examined the relationship between PCES, visual analysis, and four nonoverlap-based effect size measures.
Main Results:
- A weak to moderate correlation was found between PCES and nonoverlap-based methods, attributed to PCES's focus on performance criteria.
- PCES demonstrated potential to mitigate issues associated with nonoverlap-based methods.
Conclusions:
- PCES offers a promising approach for quantifying socially significant behavior changes in SCEDs.
- PCES can enhance the interpretation of SCED results by complementing visual analysis and addressing limitations of existing nonoverlap measures.
Keywords:
acceptable performance criteriaeffect sizemastery criterionnonoverlap based effect sizessingle-case experimental designssocial validityMore Related Videos
Related Concept Videos
01:16Experimental Designs
15.5K
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...
15.5K
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
185
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
185
01:15Study Design in Statistics
9.3K
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...
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...
9.3K
01:50Statistical Significance
20.4K
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...
20.4K
02:01Group Design
9.7K
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...
9.7K
01:22Case Studies
12.4K
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.
12.4K