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Alternating Treatments Design

Also known as: Multielement Design, Multiple-Schedule Design, Concurrent-Schedule Comparison Design, ATD

OriginatorSingle-case methodology tradition; design standards by Kratochwill et al.Year2013Sources1Related methods15

The alternating treatments design (ATD), also called the multielement design, is a single-case experimental method that rapidly alternates two or more conditions or treatments within a single individual to compare their effects directly. Rather than running each treatment in a long block, the analyst switches between conditions in close succession — often session by session — in a counterbalanced or randomized order so that time, sequence, and setting do not favor one condition. The signature of an effect is a consistent vertical separation between the data paths of the conditions: when one treatment's outcomes reliably sit above another's across the alternation, the design attributes the difference to the treatment rather than to extraneous variables. Because comparison is built into the rapid alternation, the ATD can demonstrate differential effects quickly and without withdrawing an effective treatment to baseline. It fits squarely within the single-case design standards formalized by Kratochwill and colleagues in 2013, which treat systematic manipulation and replicated demonstrations as the basis for experimental control.

Key highlights

  • Directly compares two or more treatments within a single individual, answering 'which works better' rather than just 'does it work'.
  • Avoids withdrawing an effective treatment to baseline, since comparison comes from alternation rather than reversal.
  • Rapid alternation holds maturation, history, and context roughly constant across conditions, sharpening the contrast.
  • Counterbalanced or randomized scheduling controls sequence and time effects and supports randomization-test analysis.

Intuition

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How it works

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When to use it

Use the alternating treatments design when the question is comparative — which of two or more interventions works better for an individual — rather than whether a single intervention works at all. It is well suited to behaviors that respond quickly and can be measured repeatedly, to settings where conditions can be implemented in rapid succession, and to situations where withdrawing an effective treatment to baseline would be undesirable, since the ATD compares treatments directly without a return-to-baseline reversal. The design assumes that the treatments do not strongly interact or carry over between alternations; it is therefore a poor fit when one condition durably changes the learner so that subsequent sessions are contaminated, or when the behavior changes too slowly to show condition-specific differences within a rapid schedule. It also requires that conditions be discriminable enough that the participant and measurement system can keep them distinct.

Strengths & limitations

Strengths
  • Directly compares two or more treatments within a single individual, answering 'which works better' rather than just 'does it work'.
  • Avoids withdrawing an effective treatment to baseline, since comparison comes from alternation rather than reversal.
  • Rapid alternation holds maturation, history, and context roughly constant across conditions, sharpening the contrast.
  • Counterbalanced or randomized scheduling controls sequence and time effects and supports randomization-test analysis.
Limitations
  • Vulnerable to multitreatment interference and carryover, where exposure to one condition contaminates performance in the other.
  • Requires behaviors that respond quickly; slowly changing outcomes will not separate within a rapid alternation schedule.
  • Frequent switching can confuse participants or be difficult to implement faithfully in applied settings.
  • Limited to comparing a small number of conditions, since many alternated treatments produce cluttered, hard-to-read data paths.

Common pitfalls

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Applications

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Frequently asked

How does an alternating treatments design show that a treatment works?

It shows differential effect through separation of data paths rather than a phase shift. By rapidly alternating two or more conditions in a counterbalanced order and plotting each as its own series, the design reveals whether one condition's outcomes consistently sit above the other's. A stable, replicated vertical gap between the paths — with little overlap — indicates that the treatments produce different results for that individual, because the rapid alternation holds time, context, and the person constant across conditions.

What is multitreatment interference and why does it threaten this design?

Multitreatment interference is carryover, where exposure to one condition alters how the individual responds in another, so the alternated treatments no longer reflect their isolated effects. Because the ATD interleaves conditions closely in time, an effect of treatment A may persist into a treatment B session and shrink or distort the difference between paths. Researchers guard against it by choosing treatments unlikely to carry over, counterbalancing thoroughly, and, when interference is suspected, interpreting the comparison cautiously or isolating conditions to verify their separate effects.

When should I choose an alternating treatments design over a reversal (ABAB) design?

Choose the ATD when your question is comparative — which of several treatments is better — and when you do not want to withdraw an effective treatment to baseline, since the ATD compares conditions directly through alternation. Choose a reversal design when you want to demonstrate that a single intervention controls the behavior and when the behavior can ethically and practically return toward baseline. The ATD is faster for head-to-head comparisons but assumes minimal carryover, whereas the reversal design isolates one treatment's effect through repeated on-off demonstrations.

Sources

  1. 1.
    Kratochwill, T. R., Hitchcock, J. H., Horner, R. H., Levin, J. R., Odom, S. L., Rindskopf, D. M., & Shadish, W. R. (2013). Single-case intervention research design standards. Remedial and Special Education, 34(1), 26-38.

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Cite this page

ScholarGate. (2026, June 23). Alternating Treatments Design. ScholarGate. https://scholargate.app/disability-studies/alternating-treatments-design