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Comparison of Overlap Methods for Quantitatively Synthesizing Single-Subject Data

Wolery, Mark, Busick, Matthew, Reichow, Brian, Barton, Erin E.·2010·The Journal of Special Education

Abstract

Four overlap methods for quantitatively synthesizing single-subject data were compared to visual analysts’ judgments. The overlap methods were percentage of nonoverlapping data, pairwise data overlap squared, percentage of data exceeding the median, and percentage of data exceeding a median trend. Visual analysts made judgments about 160 A-B data sets selected randomly from the Journal of Applied Behavior Analysis . The four overlap methods were compared for data sets in which all visual analysts agreed a change in data occurred or a change did not occur across conditions. Each overlap method had unacceptably high levels of errors. Given the findings and weaknesses of the overlap methods, their use should be abandoned. The desirable characteristics of a quantitative synthesis method are described.

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Research works printed but not linked: 30

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Metadata

Authors
Wolery, M., Busick, M., Reichow, B., & Barton, E. E.
Venue
The Journal of Special Education
Published
2008-12-31
Volume
44
Issue
1
Pages
18-28
ISSN
  • 0022-4669 (ISSN-L)
  • 1538-4764
OpenAlex
W2143806815
Cited by
286
References
1
FWCI
9.88
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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Wolery, M., Busick, M., Reichow, B., & Barton, E. E. (2010). Comparison of Overlap Methods for Quantitatively Synthesizing Single-Subject Data. The Journal of Special Education. https://doi.org/10.1177/0022466908328009

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