Dana Do’s: 1-Minute Experimental Design Test Hack (you still have to study it though)

Look, I am not about experimental design test hacks but I get that it scares people. I can’t lie it scares me too, a little bit. But I’m gonna share a trick that won’t get you off the hook from studying this– because you’ve got to be able to visually interpret this stuff. But, I am going to give you a little something to put on your whiteboard to help make good discriminations on test questions. So here’s the trick: on the whiteboard, write down the five designs and how many IVs and DVs that design tests. Now, since you have a lot on your plate, and I’m a very nice lady, I’m going to give you that info now. Well thank you Dana. You’re welcome folks. Write this down and memorize it for your whiteboard. Reversal: one IV one DV– best for proving stuff. Multiple baseline: one IV, two or more DVs– this is good for showing the generalization effects of an IV. Multi-element: two to four IVs one DV– this is good for functional analysis or to compare the efficacy of different treatments. Changing criterion: one IV one DV– good to see if reinforcement criteria is controlling behavior. Now, use this info to rule out options that don’t meet these criteria in test questions. I hope that helps.

5th Edition Task List
  • D-3   Identify the defining features of single-subject experimental designs (e.g., individuals serve as their own controls, repeated measures, prediction, verification, replication).
  • 6th Edition TCO
  • D.4 Identify the defining features of single-case experimental designs (e.g., individuals serve as their own controls, repeated measures, prediction, verification, replication).  
  • G.3 Design and evaluate time-based reinforcement (e.g., fixedtime) schedules.  
  • Dana Do's
  • Experimental Designs
  • MiniBig C D F
  • Section D
  • Section D-3
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    Test your knowledge of measurement confounds with PTB co-founder Dana Meller as she discusses one of the four types of threats to internal validity, with corresponding examples. Refer to BCBA® Task List (5th ed.) Section C-8: Evaluate the validity and reliability of measurement procedures.
  • BCBA® Mock Exam Question: IOA Battle Royal: Which Formula Gets Knocked Out?Breaking Down a BCBA® Mock Exam Question: It's the IOA Battle Royal. Which Formula Gets Knocked Out?
    Sharpen your measurement skills with PTB co-founder Dana Meller as she reviews a BCBA® mock exam question about IOA and helps explain the different formulas used for time sampling measurements. Dana covers four IOA formulas: Interval-by-Interval, Scored Interval, Trial-by-Tial, and Unscored Interval; and highlights key considerations and pitfalls associated with each. BCBA® Task List (5th ed.) Section C-8: Evaluate the validity and reliability of measurement procedures.
  • Test your ABA Terminology: Fundamental Properties of Behavior ChangeTest your ABA Terminology ➠ Fundamental Properties of Behavior Change
    Test your ability to interpret graphed data with PTB co-founder Dana Meller. Here she explains the three fundamental properties of behavior change, focusing on one specific property akin to an average or median. Included are descriptions of level, trend, variability, and the y-axis. Refer to BCBA® Task List (5th ed.) Section C-11: Interpret graphed data.
  • BCBA® Mock Exam Question: The #1 Threat to Accuracy and ReliabilityBreaking Down a BCBA® Mock Exam Question: The #1 Threat to Accuracy and Reliability
    Test your measurement knowledge with PTB co-founder Dana Meller as she reviews a BCBA® mock exam question about the key indicators of trustworthy measurement, revealing the most significant threat facing accuracy and reliability. Dana provides insight into the distinctions between reliability, validity, and accuracy and how they relate to measurement. BCBA® Task List (5th ed.) Section C-8: Evaluate the validity and reliability of measurement procedures.
  • Threats to Validity Exposed: When Misleading Data Plays Tricks on Your PerceptionThreats to Validity Exposed: When Misleading Data Plays Tricks on Your Perception
    Test your knowledge of measurement procedures with PTB co-founder Dana Meller as she explains, in detail, one of the threats to validity with several corresponding examples. Dana also shares a clever memorization study tip that will help you on the Big exam. Refer to BCBA® Task List (5th ed.) Section C-8: Evaluate the validity and reliability of measurement procedures.
  • Dana Do's: All the Validities in ABA, Explained
    PTB founder Dana Meller helps connect each of the validities to the validity of this explanation.
  • Let's Break Down a BCBA® Mock Exam Question: Identifying Measurement Confounds in Experimental Design
    PTB co-founder Dana Meller breaks down a BCBA® mock exam question that explores the difference between measurement confounds and subject confounds, how they relate to threats to internal validity in ABA research. Refer to BCBA® Task List (5th ed.) Section D-2: Distinguish between internal and external validity.
  • BCBA® Mock Exam Question: Reversal DesignLet's Break Down a BCBA® Mock Exam Question: Ethical Considerations in Experimental Design
    Test your understanding of ethical considerations in experimental designs with PTB co-founder Dana Meller. Let's review a BCBA® mock exam question about reversal design and the nuances and concerns associated with this 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).
  • Most Used Experimental DesignThe Most Utilized Experimental Design for Generalization Effects
    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).
  • 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).CON Artist Captured! Unmasking the CONfounding Variable of the Alternating Treatments Design
    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.
  • Let's break down a BCBA® mock exam question about experimental design.Let's Break Down a BCBA® Mock Exam Question: Analyzing the Fundamental IV & BehaviorChange Relationship
    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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