Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/29722
Title: Comparing 'visual' effect size indices for single-case designs
Author: Manolov, Rumen
Solanas Pérez, Antonio
Leiva Ureña, David
Keywords: Investigació de cas únic
Conducta (Psicologia)
Single subject research
Human behavior
Issue Date: 2010
Publisher: Hogrefe Publishing
Abstract: Effect size indices are indispensable for carrying out meta-analyses and can also be seen as an alternative for making decisions about the effectiveness of a treatment in an individual applied study. The desirable features of the procedures for quantifying the magnitude of intervention effect include educational/clinical meaningfulness, calculus easiness, insensitivity to autocorrelation, low false alarm and low miss rates. Three effect size indices related to visual analysis are compared according to the aforementioned criteria. The comparison is made by means of data sets with known parameters: degree of serial dependence, presence or absence of general trend, changes in level and/or in slope. The percent of nonoverlapping data showed the highest discrimination between data sets with and without intervention effect. In cases when autocorrelation or trend is present, the percentage of data points exceeding the median may be a better option to quantify the effectiveness of a psychological treatment.
Note: Versió postprint del document publicat a: http://dx.doi.org/10.1027/1614-2241/a000006
It is part of: Methodology, European Journal of Research Methods for the Behavioral and social Sciences, 2010, vol. 6, num. 2, p. 49-58
Related resource: http://dx.doi.org/10.1027/1614-2241/a000006
URI: http://hdl.handle.net/2445/29722
ISSN: 1614-1881
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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