Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 652

The DOI matches its Crossref record.

ALTERNATING TREATMENTS DESIGN: ONE STRATEGY FOR COMPARING THE EFFECTS OF TWO TREATMENTS IN A SINGLE SUBJECT

Open access
Barlow, David H., Hayes, Steven C.·1979·Journal of Applied Behavior Analysis

Abstract

A little used and often confused design, capable of comparing two treatments within a single subject, has been termed, variously, a multielement baseline design, a multiple schedule design, and a randomization design. The background of these terms is reviewed, and a new, more descriptive term, Alternating Treatments Design, is proposed. Critical differences between this design and a Simultaneous Treatment Design are outlined, and experimental questions answerable by each design are noted. Potential problems with multiple treatment interference in this procedure are divided into sequential confounding, carryover effects, and alternation effects and the importance of these issues vis‐a‐vis other single‐case experimental designs is considered. Methods of minimizing multiple treatment interference as well as methods of studying these effects are outlined. Finally, appropriate uses of Alternating Treatments Designs are described and discussed in the context of recent examples.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1901/jaba.1979.12-199

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 652

Metadata

Authors
Barlow, D. H., & Hayes, S. C.
Venue
Journal of Applied Behavior Analysis
Publisher
Wiley
Published
1979-06
Volume
12
Issue
2
Pages
199-210
ISSN
  • 0021-8855 (ISSN-L)
  • 1938-3703
OpenAlex
W2148759199
Cited by
652
References
0
FWCI
18.20
Type
journal article
Language
en
Open access
bronze

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: ALTERNATING TREATMENTS DESIGN: ONE STRATEGY FOR COMPARING THE EFFECTS OF TWO TREATMENTS IN A SINGLE SUBJECT. https://app.cochat.ai/papers/10.1901/jaba.1979.12-199
The paper
Barlow, D. H., & Hayes, S. C. (1979). ALTERNATING TREATMENTS DESIGN: ONE STRATEGY FOR COMPARING THE EFFECTS OF TWO TREATMENTS IN A SINGLE SUBJECT. Journal of Applied Behavior Analysis. https://doi.org/10.1901/jaba.1979.12-199

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.