Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/32870
Title: A comparison of mean phase difference and generalized least squares for analyzing single-case data
Author: Manolov, Rumen
Solanas Pérez, Antonio
Keywords: Investigació de cas únic
Anàlisi de regressió
Metodologia
Single subject research
Regression analysis
Methodology
Issue Date: 18-Jan-2013
Abstract: The present study focuses on single-case data analysis and specifically on two procedures for quantifying differences between baseline and treatment measurements The first technique tested is based on generalized least squares regression analysis and is compared to a proposed non-regression technique, which allows obtaining similar information. The comparison is carried out in the context of generated data representing a variety of patterns (i.e., independent measurements, different serial dependence underlying processes, constant or phase-specific autocorrelation and data variability, different types of trend, and slope and level change). The results suggest that the two techniques perform adequately for a wide range of conditions and researchers can use both of them with certain guarantees. The regression-based procedure offers more efficient estimates, whereas the proposed non-regression procedure is more sensitive to intervention effects. Considering current and previous findings, some tentative recommendations are offered to applied researchers in order to help choosing among the plurality of single-case data analysis techniques.
Note: Versió postprint del document publicat a: http://dx.doi.org/10.1016/j.jsp.2012.12.005
It is part of: Journal of School Psychology, 2013, vol 51, num 2, p. 201-215
Related resource: http://dx.doi.org/10.1016/j.jsp.2012.12.005
URI: http://hdl.handle.net/2445/32870
ISSN: 0022-4405
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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