Dana Do’s: Importance of Experimental Design Fluency

Are you afraid of the experimental design section of the task list? I get it. Not having come from an experimental background, I am intimidated by this area too. But, I’ve learned to love it. You just need to reframe your position. So here’s the thing, we can’t hate experimentation; we need it in our behavior-analytic lives. Without all of that empirical evidence supporting our science, we couldn’t improve people’s lives. All those effective interventions, those client breakthroughs, all that good stuff that we do every day– based on the results of ABA experiments. So we have to understand that stuff. What if a doctor says “Here’s a medication. It’s supposed to work, I just don’t know why”, because they couldn’t interpret the study it was based on. That would not feel right. And like with medicine, experimentation plays a major role in the applied stuff that we do. Empowering us to make empirically validated treatment choices. So we’re basically like doctors, no not really, I’m kidding. But still, let’s embrace experimental design, let’s love it, let’s be fluent in it because we are scientists and we got this.

  • D-3   Identify the defining features of single-subject experimental designs (e.g., individuals serve as their own controls, repeated measures, prediction, verification, replication).
  • Dana Do's
  • Experimental Designs
  • MiniBig C D F
  • Section D
  • Section D-3
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  • Baseline logic
    The essential reasoning of single-subject experimental designs, which consists of prediction, verification, and replication.
  • ABA terms you need to knowPrediction
    The projected result of a presently unknown measurement to be determined in the future, based on the belief that if current conditions persist, so will the pattern of responding, and …

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    Demonstrating that the independent variable alone is responsible for the effect on the dependent variable by removing the independent variable and observing the dependent variable return to baseline levels.
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  • Affirmation of the consequent
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  • ABA terms you need to know: single-subject designs.Single-subject designs
    A type of experimental design in which each subject serves as their own control, and the effects of treatment are compared to the subject’s own baseline data.
  • Independent variable
    In an experimental design, this is the particular aspect of the environment manipulated to assess its effects on the target behavior.
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    A deliberate process in experimentation where the dependent variable is repeatedly exposed to the independent variable, controlling for and/or eliminating any extraneous influences on the dependent variable and achieving a …

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  • Experimental design
    The specific arrangement of conditions in a study that are created to compare the relevant relations of the effects of the independent variable’s presence, absence, or different values of the …

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  • Treatment package
    An intervention plan, typically for behavior reduction, with two or more independent variables interacting simultaneously.
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    Learn what the most utilized experimental design is for generalization effect. PTB co-founder Dana Meller shares this design's key features and benefits, allowing us to assess the effects of an independent variable across various settings, subjects, and behaviors. Refer to BCBA® Task List (5th ed.) Section D-5: Use single-subject experimental designs (e.g., reversal, multiple baseline, multielement, changing criterion).
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    PTB co-founder Dana Meller hones your experimental design skills with a focus on the alternating treatments design's confounding variable. Refer to BCBA® Task List (5th ed.) Section D-5: Use single-subject experimental designs (e.g., reversal, multiple baseline, multielement, changing criterion).
  • Dance the Axes Tango: Assessing Intervention Effectiveness on the Dynamic Data Graph FloorDance the Axes Tango: Assessing Intervention Effectiveness on the Dynamic Data Graph Floor
    Sharpen your experimental design skills and explore how independent variables influence behavior. PTB co-founder Dana Meller explains how to decipher graphical representations of data and understand the roles of the y-axis and x-axis. Refer to BCBA® Task List (5th ed.) Section D-1: Distinguish between dependent and independent variables.
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    Hone your experimental design skills through review of a BCBA® mock exam question. PTB co-founder Dana Meller breaks down the crucial aspect of experiments—how they demonstrate changes in behavior attributed to the independent variable. Refer to BCBA® Task List (5th ed.) Section D-2: Distinguish between internal and external validity.
  • The Proof of Function is in the Reversal Design Pudding
    PTB co-founder Dana Meller puts your understanding of experimental design to the test. What are the critical phases required for a successful and robust experimental setup. Refer to BCBA® Task List (5th ed.) Section D-5: Use single-subject experimental designs (e.g., reversal, multiple baseline, multielement, changing criterion).
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