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Title: The influence of the design matrix on treatment effect estimates in the quantitative analyses of single-subject experimental design research
Authors: Moeyaert, Mariola ×
Ugille, Maaike
Ferron, John
Beretvas, S. Natasha
Van Den Noortgate, Wim #
Issue Date: Sep-2014
Series Title: Behavior Modification vol:38 issue:5 pages:665-704
Abstract: The quantitative methods for analyzing single-subject experimental data have expanded during the last decade, including the use of regression models to statistically analyze the data, but still a lot of questions remain. One question is how to specify predictors in a regression model in order to account for the specifics of the design and estimate the effect size of interest. These quantitative effect sizes are used in retrospective analyses and allow synthesis of single-subject experimental study results which is informative for evidence-based decision making, research and theory building, and policy discussions. We discuss different design matrices that can be used for the most common single-subject experimental designs, namely, the multiple-baseline designs, reversal designs, and alternating treatment designs and provide empirical illustrations. The purpose of this article is to guide single-subject experimental data analysts interested in analyzing and meta-analyzing single-subject experimental design data.
ISSN: 0145-4455
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Methodology of Educational Sciences
Faculty of Psychology and Educational Sciences, Campus Kulak Kortrijk – miscellaneous
Faculty of Psychology and Educational Sciences - miscellaneous
× corresponding author
# (joint) last author

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