Research

Showing 1 - 4 of 4
Single-Subject Experimental Design for Evidence-Based Practice
Authors
Breanne J. Byiers, Joe Reichle, Frank J. Symons
Journal
Am J Speech Lang Pathol
Purpose Single-subject experimental designs (SSEDs) represent an important tool in the development and implementation of evidence-based practice in communication sciences and disorders. The purpose of this article is to review the strategies and tactics of SSEDs and their application in speech-language pathology research. Method The authors discuss the requirements of each design, followed by advantages and disadvantages. The logic and methods for evaluating effects in SSED are re […]
Overview of Single-Subject Research
Journal
Research Methods in Psychology - 2nd Canadian Edition
Single-subject research is a type of quantitative research that involves studying in detail the behaviour of each of a small number of participants. Note that the term single-subject does not mean that only one participant is studied; it is more typical for there to be somewhere between two and 10 participants. (This is why single-subject research designs are sometimes called small-n designs, where n is the statistical symbol for the sample size.) Single-subject research can be contra […]
Differential Effects of Ethical Education, Physical Hatha Yoga, and Mantra Me...
Authors
Karin Matko, Peter Sedlmeier, Holger C. Bringmann
Journal
Frontiers in Psychology
Traditionally, yoga is a multicomponent practice consisting of postures, breathing techniques, meditation, mantras, and ethics. To date, only a few studies have tried to dismantle the effects of each of these components and their combinations. To fill this gap, we examined the incremental effects of ethical education and physical Hatha yoga on mantra meditation using a single-case multiple-baseline design. This study was part of a project evaluating the new mind–body program Meditatio […]
QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform
Authors
Sara Taylor, Akane Sano, Craig Ferguson, Akshay Mohan, Rosaland W. Picard
Journal
Sensors
Smartphones and wearable sensors have enabled unprecedented data collection, with many products now providing feedback to users about recommended step counts or sleep durations. However, these recommendations do not provide personalized insights that have been shown to be best suited for a specific individual. A scientific way to find individualized recommendations and causal links is to conduct experiments using single-case experimental design; however, properly designed single-case […]