NAVIGATION

Event Details:
Thursday, May 18, 2017, 3:30pm - 5:00pm

Functional Analysis Screening Procedure for Behavior Maintained by Automatic Reinforcement

Professional Continuing Education Seminar Series


Join us for this workshop that is part of our intermediate to advanced-level workshop series for human services and behavioral healthcare professionals working in clinical, educational, medical, and rehabilitation settings.

Instructor: Angie Q. Campanale, PhD, LABA, BCBA-D

Event Description: A common finding in previous research is that problem behavior maintained by automatic reinforcement continues to occur in the alone condition of a functional analysis (FA), whereas behavior maintained by social reinforcement typically is extinguished. Thus, the alone condition may represent an efficient screening procedure when maintenance by automatic reinforcement is suspected.

We conducted a series of 5-min alone (or no-interaction) probes for 30 cases of problem behavior and compared initial predictions of maintenance or extinction to outcomes obtained in subsequent FAs.

Results indicated that data from the screening procedure accurately predicted that problem behavior was maintained by automatic reinforcement in 21 of 22 cases and by social reinforcement in 7 of 8 cases. Thus, results of the screening accurately predicted the function of problem behavior (social vs. automatic reinforcement) in 28 of 30 cases.

CE CREDITS: May Institute is approved by the Behavior Analyst Certification Board (BACB) to grant Continuing Education Credits.  This seminar will grant 1.5 Continuing Education Credits for BCBA professionals.

Register Below. Registration is required for all who attend. Registration for this event does commit you to attendance at this CE workshop. If you need to cancel, cancellations must be received 24 hours prior to the event by e-mail to bjerskey@mayinstitute.org

Fee: $30 for guests; May Institute employees may attend free-of-charge. Guests can pay by check on the day of the event.

Create your own user feedback survey