The DOI matches its Crossref record.
A Methodology for the Quantitative Synthesis of Intra-Subject Design Research
Abstract
Investigators using quantitative synthesis methodology have as yet been unable to include the results from single-case experiments in their analyses, in large part because of the lack of a suitable statistical methodology. The development of a regression model that can be used to generate effect sizes for both changes in slope and changes in level occurring as a result of the treatment intervention is outlined. Analysis of lag one autocorrelation among the residuals suggests that serial correlation is not a serious problem. The regression approach provides a satisfactory fit of the data, and may thus provide a basis for the generation of effect sizes from single-case experimental data.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Combining nonoverlap and trend for single-case research: Tau-U
Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011) · Behavior Therapy · doi:10.1016/j.beth.2010.08.006 · Cited by 1,468
Single-case experimental designs: a systematic review of published research and current standards
Smith, J. D. (2012) · Psychological Methods · doi:10.1037/a0029312 · Cited by 630
Evaluating Single-Subject Treatment Research: Lessons Learned from the Aphasia Literature
Beeson, P. M., & Robey, R. R. (2006) · Neuropsychology Review · doi:10.1007/s11065-006-9013-7 · Cited by 549
Fisher, W. W., Kelley, M. E., & Lomas, J. E. (2003) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2003.36-387 · Cited by 351
An Improved Rank Correlation Effect Size Statistic for Single-Case Designs: Baseline Corrected Tau
Tarlow, K. R. (2017) · Behavior Modification · doi:10.1177/0145445516676750 · Cited by 283
Metadata
- Authors
- Center, B. A., Skiba, R. J., & Casey, A.
- Venue
- The Journal of Special Education
- Publisher
- SAGE Publications
- Published
- 1985-12
- Volume
- 19
- Issue
- 4
- Pages
- 387-400
- ISSN
- 0022-4669 (ISSN-L)
- 1538-4764
- OpenAlex
- W2101762810
- Cited by
- 181
- References
- 0
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Methodology for the Quantitative Synthesis of Intra-Subject Design Research. https://app.cochat.ai/papers/10.1177/002246698501900404
- The paper
- Center, B. A., Skiba, R. J., & Casey, A. (1985). A Methodology for the Quantitative Synthesis of Intra-Subject Design Research. The Journal of Special Education. https://doi.org/10.1177/002246698501900404
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
