Please use this identifier to cite or link to this item:
Title: How can single-case data be analyzed? Software resources, tutorial, and reflections on analysis
Author: Manolov, Rumen
Moeyaert, Mariola
Keywords: Investigació de cas únic
Single subject research
Computer software
Issue Date: 2017
Publisher: SAGE Publications
Abstract: The present article aims to present a series of software developments in the quantitative analysis of data obtained via single-case experimental designs (SCEDs), as well as the tutorial describing these developments. The tutorial focuses on software implementations based on freely available platforms such as R and aims to bring statistical advances closer to applied researchers and help them become autonomous agents in the data analysis stage of a study. The range of analyses dealt with in the tutorial is illustrated on a typical single-case dataset, relying heavily on graphical data representations. We illustrate how visual and quantitative analyses can be used jointly, giving complementary information and helping the researcher decide whether there is an intervention effect, how large it is, and whether it is practically significant. To help applied researchers in the use of the analyses, we have organized the data in the different ways required by the different analytical procedures and made these data available online. We also provide Internet links to all free software available, as well as all the main references to the analytical techniques. Finally, we suggest that appropriate and informative data analysis is likely to be a step forward in documenting and communicating results and also for increasing the scientific credibility of SCEDs.
Note: Versió postprint del document publicat a:
It is part of: Behavior Modification, 2017, vol. 41, num. 2, p. 179-228
Related resource:
ISSN: 0145-4455
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

Files in This Item:
File Description SizeFormat 
663294.pdf1.13 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.