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Simultaneous / Alternating Treatment Designs
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Also known as: Multi-element baseline design Multiple schedule design
Concurrent schedule design
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Overview Efficient for comparing effects of 2 or more treatments
Alternated in a variety of ways A distinct stimulus is often associated with each treatment Involves prediction, verification, and replication
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Logic of Simultaneous or Alternating Treatments Design
Experimental control is demonstrated with different levels of response in different treatments Allows for quick comparison Stresses importance of evaluating individualized treatments
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Design Variations Single phase without no-treatment control condition
Single phase with one no-treatment control condition Two phase with initial baseline Three phase with baseline and final best treatment phase
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Without No-Treatment Control Condition
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With No-Treatment Control Condition
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With Baseline and Final Best Treatment Phase
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Design Advantages Does not require treatment withdrawal
Speed of comparison Minimizes irreversibility problem Minimizes sequence effects Can be used with unstable data Can be used to assess generalization of effects Intervention can begin immediately
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Design Disadvantages Multiple treatment interference
Unnatural nature of rapidly alternating treatments Limited capacity (max. of 4 conditions) Selection of treatments – should be significantly different from one another
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Conclusions Good way to examine a lot of options
Need to be careful to not do too many Client may become overwhelmed Client may become confused about what to do You may lose track of what you are doing.
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