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- Overview
-
1. An introduction to autism and the autism spectrum
- Prof. Fred Volkmar
- Diagnosis and Classification
-
2. The diagnosis of autism spectrum disorders
- Prof. Fred Volkmar
-
4. Rett syndrome: a pediatric neurodevelopmental disorder
- Prof. Richard Van Acker
-
5. The broad autism phenotype
- Prof. Noah J. Sasson
-
6. PDD-NOS: the "unknown continent"
- Prof. Kenneth Towbin
- Epidemiology
-
7. The epidemiology of autism spectrum disorders: history and current estimates
- Prof. Eric Fombonne
- Development and Behavior
-
10. Diagnosis and clinical management of autism: implications for young children
- Dr. Kelly K. Powell
-
11. The school age child with autism/autism spectrum disorders (ASD)
- Prof. Ann Le Couteur
-
12. Autism in adulthood: improving the future
- Prof. Emeritus Patricia Howlin
-
13. Restricted and repetitive behaviours
- Prof. Sue Leekam
- Prof. Margot Prior
-
14. Autism spectrum disorder: psychiatric comorbidities
- Dr. Gerrit van Schalkwyk
- Assessment
-
15. Diagnostic and screening instruments for autism
- Prof. Deborah Fein
-
16. Psychological assessment of ASD
- Dr. Meghan Miller
- Interventions
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18. Models of educational intervention for people with ASD
- Prof. Sandra Harris
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19. Applied behavior analysis: conceptual foundations
- Dr. Mark J. Palmieri
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20. Applied behavior analysis: application elements
- Dr. Mark J. Palmieri
-
22. Understanding and assessing language and communication in children with ASD
- Dr. Patricia A. Prelock
-
23. Psychopharmacology of autism
- Prof. Christopher J. McDougle
-
24. Evidence-based practices for children with autism spectrum disorder
- Dr. Brian Reichow
-
25. TEACCH autism program: supporting the unique learning differences of autism
- Dr. Laura Grofer Klinger
-
26. Medical care for children on the autism spectrum
- Dr. Elizabeth Wiesner
- Neurobiology
-
28. Penetrance, pleiotropy, and psychiatry 1
- Dr. Jacob A.S. Vorstman
-
29. Penetrance, pleiotropy, and psychiatry 2
- Dr. Jacob A.S. Vorstman
-
30. Genetics of autism spectrum disorders
- Dr. Matthew State
-
31. Neural signatures of atypical social brain development in autism
- Dr. Kevin Pelphrey
-
32. Neurochemical research in autism
- Dr. George Anderson
- Theory
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33. Neurocognitive models of autism
- Prof. Stephen Hooper
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34. Autism theory
- Dr. Nick Chown
- Social Policy
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36. Asperger syndrome and legal issues
- Dr. Marc Woodbury-Smith
-
37. Siblings of children with autistic spectrum disorders 1
- Prof. Bryna Siegel
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38. Siblings of children with autistic spectrum disorders 2
- Prof. Bryna Siegel
-
39. Different kinds of minds contribute to society
- Prof. Temple Grandin
- Archived Lectures *These may not cover the latest advances in the field
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40. Psychological assessment
- Prof. Sally Ozonoff
-
42. Assessing communication in ASD
- Prof. Rhea Paul
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43. Behavior intervention and autism
- Dr. Lynn Kern Koegel
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44. Alternative and controversial treatments
- Dr. Tristram Smith
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45. The DX and classification of ASDs: progress and pitfalls
- Prof. Peter Szatmari
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46. Assessment and diagnosis of autism spectrum disorders in toddlers
- Dr. Kasia Chawarska
- Dr. Celine A. Saulnier
Printable Handouts
Navigable Slide Index
- Introduction
- Outline
- Common principles of behavior
- Applying the dimensions of ABA
- Learning and behavior
- Reinforcement and punishment (1)
- Reinforcement and punishment (2)
- Reinforcement and punishment (3)
- ABA and challenging behavior (1)
- ABA and challenging behavior (2)
- A sample of common procedures
- Data collection and analysis (1)
- Percentage data sheet
- Task analysis
- Embedded data
- Probe data
- Data collection and analysis (2)
- Line graph of BSP data
- Cumulative graph of sight words
- Multiple baseline demonstrating empirical control (1)
- Multiple baseline demonstrating empirical control (2)
- Multiple baseline demonstrating empirical control (3)
- ABA: Summary
- Thank you
Topics Covered
- Common principles of behavior
- Reinforcement and punishment
- Challenging behavior
- Data collection methods
- Data analysis
Links
Series:
Categories:
Therapeutic Areas:
Talk Citation
Palmieri, M.J. (2020, September 30). Applied behavior analysis: application elements [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved March 25, 2025, from https://doi.org/10.69645/WYDQ1208.Export Citation (RIS)
Publication History
- Published on September 30, 2020
Financial Disclosures
- There are no commercial/financial matters to disclose.
Applied behavior analysis: application elements
Published on September 30, 2020
37 min
A selection of talks on Neuroscience
Transcript
Please wait while the transcript is being prepared...
0:00
Hello, everyone. My name is Mark Palmieri.
I'm a licensed psychologist and
board-certified behavior analyst and
the co-director of the Center for Children with Special Needs,
a community-based practice in Glastonbury,
Connecticut, in the United States.
This talk is on applied behavior analysis and
its conceptual foundations and core applications.
0:22
In the first part of the talk,
we reviewed some of the historical context relevant to understanding ABA,
it's common principles, and the key dimensions of behavior.
Importantly, the learning model,
establishing reinforcement and punishment procedures as ways to
shape behavior using an antecedent behavior consequence perspective.
This part of the talk,
we'll begin with an understanding of
how applied behavioral analysis considers challenging behavior,
a learned behavior which can be understood functionally, and addressed therapeutically.
We'll then move into common treatment procedures evident in many ABA-based interventions,
the data collection which are associated with these,
and then examples of how applied behavior analysis uses visual analysis of
data to offer an analytic model to determine treatment effectiveness.
1:14
When you're considering how ABA understands behavior,
you can always be confident that it will be based in
a foundational knowledge that behavior is largely a product of its immediate environment,
that it is shaped over time and maintained by the consequences which follow it,
and that we understand that
past behavior patterns are the best predictors of future behavior.
Now when you're considering these concepts,
they can be somewhat open-ended and difficult to understand.
It's always helpful to think about your own behavior and to
consider how your behavior is a product of your own environment.
When you learn a new skill,
you understand if it's successful based on whether or not it works for you,
based on whether or not you've found yourself to be succeeding in the work you do.
If you are successful,
you're likely to continue it.
If you struggle tremendously and you're unsuccessful in reaching your intended outcomes,
you're likely to change your behavior or to stop what you're doing.
So all of our behavior is shaped by our environments.
It's just a matter of understanding that ABA allows us to study behavior very precisely,
which is so valuable,
particularly if we are working with individuals who are
unable to describe their experiences successfully,
if they have language deficits which make it
difficult for them to communicate with those around them,
or if they have challenges which make it hard for
them to communicate why they are currently doing a behavior,
when for many of us we would see that behavior as
dangerous or as unsuccessful in the environment they're in.
Always remember that from an ABA perspective,
behavior is shaped by its environment,
and the environmental events which follow a behavior,
help reinforce that behavior and make it more likely to occur again in the future.
There's going to be more attention to this in
the coming slides so that we can get more precise with
our understanding of this foundational principle of
behavioral science considering an ABA approach.