Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/29862
Title: Factors affecting visual analysis in single-case designs
Author: Ximenes, V. M.
Manolov, Rumen
Solanas Pérez, Antonio
Quera, Vicenç (Quera Jordana)
Keywords: Investigació de cas únic
Anàlisi de conducta
Single subject research
Behavioral assessment
Issue Date: 2009
Publisher: Universidad Complutense de Madrid
Abstract: Visual inspection remains the most frequently applied method for detecting treatment effects in single-case designs. The advantages and limitations of visual inference are here discussed in relation to other procedures for assessing intervention effectiveness. The first part of the paper reviews previous research on visual analysis, paying special attention to the validation of visual analysts" decisions, inter-judge agreement, and false alarm and omission rates. The most relevant factors affecting visual inspection (i.e., effect size, autocorrelation, data variability, and analysts" expertise) are highlighted and incorporated into an empirical simulation study with the aim of providing further evidence about the reliability of visual analysis. Our results concur with previous studies that have reported the relationship between serial dependence and increased Type I rates. Participants with greater experience appeared to be more conservative and used more consistent criteria when assessing graphed data. Nonetheless, the decisions made by both professionals and students did not match sufficiently the simulated data features, and we also found low intra-judge agreement, thus suggesting that visual inspection should be complemented by other methods when assessing treatment effectiveness.
Note: Reproducció del document publicat a: http://www.ucm.es/info/Psi/docs/journal/v12_n2_2009/art823.pdf
It is part of: Spanish Journal of Psychology, 2009, vol. 12, num. 2, p. 823-832
URI: http://hdl.handle.net/2445/29862
ISSN: 1138-7416
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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