Related Experiment Video
Updated: Jan 22, 2026
05:35
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
Published on: January 19, 2024
1.3K
Using AB Designs With Nonoverlap Effect Size Measures to Support Clinical Decision-Making: A Monte Carlo Validation
Antonia R Giannakakos1, Marc J Lanovaz2
1Manhattanville College, Purchase, NY, USA.
Behavior Modification
|July 16, 2019
Summary
Quasi-experimental AB designs can rigorously assess progress when combined with effect size measures. This study found specific effect size measures offer adequate control over errors and sufficient power for AB design analysis.
Area of Science:
- Behavioral Science
- Research Methodology
- Applied Behavior Analysis
Background:
- Single-case experimental designs (SCEDs) often necessitate lengthy baselines or treatment withdrawal, posing practical and ethical challenges.
- Quasi-experimental AB designs present a viable alternative, but their validity requires further investigation.
Purpose of the Study:
- To evaluate the validity of nonoverlap measures of effect size for detecting changes in AB designs.
- To assess the reliability of AB designs in practical settings.
Main Methods:
- Utilized simulated data to analyze the performance of nonoverlap measures of effect size.
- Determined thresholds for three effect size measures to maintain a Type I error rate below 0.05.
- Examined the statistical power associated with these thresholds.
Main Results:
- Identified specific effect size measures that effectively control Type I error rates.
- Demonstrated that these measures provide sufficient statistical power for analyzing AB design data.
- Established thresholds for reliable detection of changes in AB designs.
Conclusions:
- Certain effect size measures are suitable for rigorous analysis of AB designs.
- Practitioners can confidently employ quasi-experimental AB designs with effect size measures to evaluate intervention effectiveness.
- This approach enhances the scientific rigor of applied practice.
Related Concept Videos
01:29Reliability and Validity
13.8K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.8K
01:10Design Example: Measuring Distance Between Two Points with Obstructions
391
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
391
02:01Group Design
10.3K
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...
10.3K
01:28Self-Help Support Groups
338
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
338
01:20Decision Making
925
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
925
01:15Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
196
Body: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...
196