The influence of the design matrix on treatment effect estimates in the quantitative analyses of single-subject experimental design research.

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 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 (SSEDs), 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 SSED data.

journal_name

Behav Modif

journal_title

Behavior modification

authors

Moeyaert M,Ugille M,Ferron JM,Beretvas SN,Van den Noortgate W

doi

10.1177/0145445514535243

subject

Has Abstract

pub_date

2014-09-01 00:00:00

pages

665-704

issue

5

eissn

0145-4455

issn

1552-4167

pii

0145445514535243

journal_volume

38

pub_type

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