Quantitative Techniques and Graphical Representations for Interpreting Results from Alternating Treatment Design | Journal Club Series

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Hosted by Dr. Nicole Bank, BCBA, LBA-TX

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Earn 3 Learning CEUs

This installment in our Journal Club Series will cover the article, “Quantitative Techniques and Graphical Representations for Interpreting Results from Alternating Treatment Design” authored by Rumen Manolov and colleagues published in Perspectives on Behavior Science. CEUs are provided for reading the article, participating in an online discussion, and completing an article content quiz. Want to get a head start? Click here to go to a free copy of the article!

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This article introduces data analytic techniques appropriate for the alternating treatment design (ATD) where data are not collected in a contiguous time series. New graphical representations are presented as well. This article discusses the potential advantages of these new data analytic techniques and offers some open access resources.

 

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Sessions are run by Dr. Nicole Bank, BCBA, LBA-TX,
creator and owner of The Partnership, LLC and its flagship product, Current Contents in ABA.

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Buy. Schedule at your convenience.
Read the article. Meet with Nicole. Earn CEUs.

What next?

Be proud! 🦚 You're enhancing scholarly activities within the behavior analytic community. That's good for you, the field, and the clients you serve.

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The Article

This installment in our Journal Club Series will cover the article, “Quantitative Techniques and Graphical Representations for Interpreting Results from Alternating Treatment Design” authored by Rumen Manolov and colleagues published in Perspectives on Behavior Science. CEUs are provided for reading the article, participating in an online discussion, and completing an article content quiz.

Want to get a head start? Click here to go to a free copy of the article!

Objectives

Objectives:

  1. Describe the benefit of using an alternating treatment design (ATD)
  2. Describe the process of visually analyzing data paths in a study using an ATD
  3. Describe the process of descriptive analysis techniques in a study using an ATD
  4. Describe how level and trend can be quantified in a study using an ATD
  5. Describe inferential data analytical techniques available for use in a study using an ATD
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