Types of ABA Study Designs

Multiple baseline across participants is done by having multiple participants in the study and staggering when the intervention is applied.  At first baseline data is taken on all participants, and then participants are given treatment over time.

Alternating treatments design switches treatments back and forth, one at a time.  The treatments are “turned on / off” and compared on a graph over time.

Withdrawal / Reversal Design starts without the intervention for baseline, adds the intervention and then removes it.  The intervention should theoretically return to the baseline condition.

Changing Criterion design either gradually increases or decreases the behavior goals by continually over time changing the goal.

Behavior Intervention Plan (BIP)

Selecting interventions is based on:

  • what a behavioral assessment deems to be the problem behavior and its function as determined by data analysis
  • what the client needs in terms of a replacement behavior
  • the social significance of the change
  • evaluating the environment to see if it will produce reinforcement for the client after the intervention has been discontinued
  • keeping client’s preferences in mind

Good behavioral definitions are:

  • objective – referring only to observable characteristics
  • clear – no ambiguity
  • complete – giving examples of behavior and non-behavior

Errorless Learning

Errorless learning is based on the idea that if a student is successful and has more opportunities to be successful and receive reinforcement, they are more likely to exhibit correct behaviors in the future.  Skinner said “Errors are not necessary for learning to occur.”

Behavioral Cusp

Cusp behaviors are chosen as goals when possible.  They are behaviors that significantly expand a client’s repertoire to new settings, new contingencies and new stimulus controls.  Learning to read is a cusp behavior that gains access to a whole set of new learning opportunities, for example.  Also, a baby learning to crawl is a behavioral cusp.  This skill allows the baby to access the world in a whole new way.

Self-management Programs

Effective self-management programs utilize the individuals ability to set criteria for reinforcement.  This is in Chapter 27 of Cooper.  Going public with one’s desire to change (to recruit support) and the ability to evaluate and redesign the original program if self-monitoring data indicates an adjustment is needed are important components to a successful program.  It is of note that punishment is typically not utilized in self-management interventions.

6 Advantages to Graphic Displays of Data

Cooper, Heron and Heward (2007) outline 6 advantages to graphic displays of behavior data:

  1. Provide an immediate visual record of data
  2. allow the ability to explore behavioral variations of data in realtime
  3. serve as judgement aides that help interpret intervention results
  4. allow for visual analysis
  5. unbiased, independent judgement may be made from graphs
  6. serve as an effective tool for client feedback

According to the Behavior Analysis Certification Board (BACB) Ethical Code section 3.01(b): “Behavior analysts have an obligation to collect and graphically display data.”

The X-axis (horizontal axis) is the abscissa.

The Y-axis (vertical axis) is the ordinate.

Behavioral Definition

3 characteristics of a good behavioral definition are:

  1. Objective – referring only to observable characteristics
  2. Clear – unambiguous
  3. Complete – setting boundaries, what is to be included and what is to be excluded

3 Dimensions of a Single-case Study Design

Prediction, verification and replication.

Prediction involves anticipating what you think will happen in the future.  Verification is showing that dependent variables (DVs) would not change without intervention (independent variables: IVs).  Replication involves taking away the intervention, reintroducing it, and obtaining similar outcomes.

Level, trend and variability have to do with the visual analysis of graphed data.

Studies across participants, settings or behaviors are ways to set up multiple baseline designs.

Stimulus, response and consequence make up the “three-term contingency.”

Task Analysis and Chaining

A task analysis is an intervention which links a series of behaviors to create a more complex behavior chain.  Constructing the intervention chain must be done BEFORE the intervention begins.  One should also use the client’s repertoire for selecting appropriate interventions.  An evaluation of the client’s verbal repertoire and pre-attending skills are done before the intervention.

3 ways of validating the task analysis:

  1. Observing a competent individual performing the sequence of behaviors
  2. Consulting with an expert or person highly skilled in the particular tasks to be taught
  3. Performing the entire sequence yourself

Forward chaining is when the first step (prompted or unprompted) is reinforced upon completion.  Then the first and second steps are completed before reinforcement (or a token) is provided.  This is continued until completion of all steps is required before reinforcement is offered.  After the known step is complete, one waits until the next session to reinforce the subsequent step.

Backward chaining starts with assistance with all the steps except for the last step.  At the last known step, that step is reinforced when correct.  The reinforcement is backed up through the chain at each session, reinforcing the end of the sequence of known steps.

Total task chaining is completing the entire sequence and receiving reinforcement at the end of the completed task chain.  This is most appropriate when the learner has the prerequisite skills to complete the tasks in the chain and would not require many trials to criterion based on past learned knowledge.

Behavior Chain Interruption Strategy (BCIS) is used to confirm that the subject can emit appropriate alternative behavior when one of the steps in the chaining is interrupted.  An example would be Sally taught her brother Sam to make the bed by doing a behavior chain. Before he is finished, she hides the pillow cases.  She waits for him to ask where the pillowcases are, or to look for them, or to go to the closet to get new ones, etc.

Behavior Chain with Limited Hold is when a person has to complete the required task within a limited time in order to produce reinforcement.  For example, the burger makers at McDonald’s must complete a burger within a certain amount of time or the customer is angry.

Interobserver Agreement (IOA)

Interobserver Agreement (IOA) refers to the degree to which two or more independent observers report the same observed values after measuring the same events.

4 Benefits of IOA

  1. Determine the competence of new observers (when IOA is low)
  2. Detect observer drift over the course of a study (when IOA is low)
  3. Increases confidence that the target behavior was clearly defined (when IOA is high)
  4. Confirms that change in data is due to change in behavior and not in data collection (when IOA is high)

4 Methods for collecting IOA

  1. Total count IOA – this is the simplest and least exact method.  IOA = smaller count / larger count * 100.  Caution must be used because there is no guarantee that the observers are recording the same instances of the behavior.
  2. Mean count-per-interval IOA – The chance to have a more accurate representation of IOA is by
    1. dividing up the total observation period into a series of smaller counting times and
    2. having the observers record the number of occurrences of behavior within each interval
    3. calculating the agreement between the observer counts within each interval
    4. using the agreements per interval as the basis for calculating the IOA for the total observation period
    5. IOA = int 1 IOA + int 2 IOA …+ int N IOA / n intervals * 100
  3. Exact Count-per-interval IOA – is the most exact way to count IOA.  This is the percent of intervals in which observers record the same count.  IOA = # of intervals at 100% IOA / n intervals * 100
  4. Trial-by-trial IOA – # of trials items agreement / # of trials * 100

Interval IOA

  1. In Scored interval IOA, you determine the number of intervals that have a “yes.”  Then you divide the number of those that agree by the total number of those intervals.
  2. In Unscored Interval IOA, you do the same for the Scored Interval IOA, except you take the number of intervals that have a “no.”

Reliable vs. Accurate Data

Reliable data is data that gives the same results each time you measure it.

Accurate data is data that is correct.

Reliable data is not always accurate, but accurate data is always reliable.