Effect Size in Single-Case Research: A Review of Nine Nonoverlap Techniques

By Richard I. Parker, Kimberly J. Vannest, John L. Davis. Behavior Modification, 2011

858 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/4f1a16942fad0183120bdc0711c51e6670e11f3d

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In Developmental and Educational Psychology

In Management Science and Operations Research

Citations in the corpus

A Modified Dialogic Reading Intervention for Preschool Children With Autism Spectrum Disorder (2017, methodology): “We also applied a Tau-U statistic (Parker et al., 2011) for each dyad to provide a robust measure of behavioral differences observed between phases.”
Universal Design for Learning in Pre-K to Grade 12 Classrooms: A Systematic Review of Research (2017, methodology): “Thus, using procedures illustrated in Parker, Vannest, and Davis (2011), we computed an overall study effect size, Phi, after we calculated and aggregated results based on the percentages of all nonoverlapping data (PAND) between the baseline and intervention phases for the 3 participants in the…”
Statistical Analyses of Single-Case Designs (2014, background): “For example, overlap statistics have great intuitive appeal, and researchers are working to overcome their limitations (Parker et al., 2011).”
Calculating Effect Size in Single-Case Research (2013, methodology): “To date, I have not seen the PAND procedure implemented in the counseling literature; however, readers are referred to Parker et al. (2007, 2011) for examples of this data analysis application.”
Bottom-Up Analysis of Single-Case Research Designs (2012, methodology): “Both of these options require a few hand calculations on the statistical program output (Schwarz 2007), as detailed by Parker et al. 2011a, b.”
Interpreting Kendall’s Tau and Tau-U for single-case experimental designs (2018, methodology): “In their review of 176 single-case data sets, Parker et al. (2011b) found that within-phase trends were generally smaller in magnitude than between-phase differences.”
Automatic Identification and Classification of Misogynistic Language on Twitter (2018, methodology): “Given the great unbalance among the misogyny categories aforementioned within the dataset employed, we applied the PABAK-OS metric: with regards to the misogyny detection we obtained 0.4874 PABAK-OS, whereas for the misogyny categorization 0.3732 PABAK-OS.”
Updating the Secondary Transition Research Base: Evidence- and Research-Based Practices in Functional Skills (2020, methodology): “Tau-U is a nonparametric, nonoverlap statistical method that controls for positive data trends in baseline phases and level changes across phases (Parker et al., 2011).”
Randomization tests for single-case experiments: State of the art, state of the science, and state of the application (2014, background): “…such as PND (percent of nonoverlapping data), PZD (percentage of zero data points), PEM (percent of data points exceeding the median), IRD (improvement rate difference), and PAND (percent of all nonoverlapping data) (see e.g., Parker et al., 2011, for a review of several nonoverlap statistics).”
A Meta-Analysis of Single-Case Research Using Mathematics Manipulatives With Students At Risk or Identified With a Disability (2020, positive): “Furthermore, Tau-U has been shown to be more robust than other nonoverlap ESs (Parker et al., 2011) and yield high correspondence with visual analysis (Brossart, Vannest, Davis, & Patience, 2014).”