Comparison of Overlap Methods for Quantitatively Synthesizing Single-Subject Data

By M. Wolery, Matthew Busick, Brian Reichow, E. Barton. 2010

312 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b2c22371be2974b00087a7254956c173608dd083

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In Developmental and Educational Psychology

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In Statistics and Probability

Citations in the corpus

Effect Size in Single-Case Research: A Review of Nine Nonoverlap Techniques (2011, methodology): “Last, the percentage of data exceeding a median trend (PEM-T; Wolery et al., 2010) was not covered because it is identical to the original “ECL or ‘split middle’ line” (White & Haring, 1980).”
Calculating Effect Size in Single-Case Research (2013, background): “For instance, Wolery et al. (2010) found that PND was more conservative than PEM for making determinations of treatment efficacy.”
Randomization tests for single-case experiments: State of the art, state of the science, and state of the application (2014, methodology): “predictions of Lorimer et al. (2002), we apply the difference between the sums of means for the baseline and treatment phases as test statistic for this example (cf.”
Synthesizing Single-Case Research to Identify Evidence-Based Practices: Some Brief Reflections (2012, background): “For example, one could report one or more nonparametric estimates [but not the percent of nonoverlapping data estimator, because it has undesirable statistical properties (Wolery et al. 2010)] in addition to the regression estimator.”
Visual analysis in single case experimental design studies: Brief review and guidelines (2014, methodology): “Analysis of SCED data using statistical methods is a controversial topic that currently lacks a clear answer for researchers, but efforts are ongoing to identify appropriate procedures that summarise effects of multiple articles (Campbell, 2004; Wolery et al., 2008).”