January 2025 Preview

VERSE Should old research articles be forgot, and never brought to ABA podcasts? Should old research articles be forgot, and auld bag syne? CHORUS For auld bag syne, my BCBAs, for auld bag syne, we’ll take a cup of dissemination yet, for auld bag syne.   This episode is available for 1.0 LEARNING CEU. Articles discussed this episode: Graham, S., Keenan, M., & Dillenburger, K. (2024). All for one and one for all: The good inclusion game. Behavioral Interventions. doi: 10.1002/bin.2048 Migan-Gandonou Horr, J. & Campos, C. (2024). Effects of a technology‐based self‐management intervention on social media use in a college student. Behavior Analysis in Practice. doi: 10.1007/s40617-024-00977-3 Schmidt, J., Krantz, J., King, H., Vetter, J., & Maruska, C. (2024). Using a brief experimental analysis for writing speed intervention identification. Behavioral Interventions, 39. doi: 10.1002/bin.2019 If you're interested in ordering CEs for listening to this episode, click here to go to the store page. You'll need to enter your name, BCBA #, and the two episode secret code words to complete the purchase. Email us at abainsidetrack@gmail.com for further assistance.

15 Jan 1h 3min

Despite being a cornerstone of the science of behavior, we’ve gone nearly 300 episodes without ever really delving into the details of the matching law. Maybe it’s because it involves too many equations. Maybe it’s because a lot of the research seems to focus exclusively on choice in basketball shots. In any case we’re getting every up to speed on the basics of the matching law and its importance in studying choice. Plus, Rob has spicy hot takes. Sweet sassy mo-lassy! This episode is available for 1.0 LEARNING CEU. Articles discussed this episode: Reed, D.D. & Kaplan, B.A. (2011). The matching law: A tutorial for practitioners. Behavior Analysis in Practice, 4, 15-24. doi: 10.1007/BF03391780 Alferink, L.A., Critchfield, T.S., Hitt, J.L., & Higgins, W.J. (2009). Generality of the matching law as a descriptor of shot selection in basketball. Journal of Applied Behavior Analysis, 42, 595-608. doi: 10.1901/jaba.2009.42-595 Morris, S.L. & Vollmer, T.R. (2022). The matching law provides a quantitative description of social time allocation in children with autism. Journal of Applied Behavior Analysis, 55, 934-957. doi: 10.1002/jaba.934 If you're interested in ordering CEs for listening to this episode, click here to go to the store page. You'll need to enter your name, BCBA #, and the two episode secret code words to complete the purchase. Email us at abainsidetrack@gmail.com for further assistance.

8 Jan 1h 16min

Enjoy a short preview of our latest full-length Book Club episode.  Want to hear the whole thing and get 2.5 CEs for FREE? Subscribe to our Patreon today at the premium $10+ levels for that plus other bonuses! As a follow-up from our episode on storytelling, we our Winter 2024 Book Club explored Dr. Susan Schneider’s 2012 opus, The Science of Consequences, as an example of taking the hugely important concept of learning through consequences and making it understandable to the wider public. But hey, while she was at it, why not explain how consequences impact evolution, or gene expression, or social improvement strategies. And add multiple examples of how consequences work in labs and the natural environment across a wide range of human and non-human species. And make it fun to read! But before our crack Book Club squad dives into the nitty gritty of the content, we had the opportunity to sit down with Dr. Schneider herself to ask how she managed to take millions of years of the effects of consequences and pack it into a 300+ page book as well as how her study of consequences informs her current work as a climate change policy advocate. This full version of this episode is available for 2.5 LEARNING CEUs. Content discussed in this episode: Schneider, S.M. (2012). The science of consequences: How they affect genes, change the brain, and impact our world. Prometheus Books.

3 Jan 56min

As one of our favorite holiday traditions, Matt Cicoria from the Behavioral Observations podcast, joins us for an annual review of what’s up in behavior analysis. And this year we’re shaking up the format to look at our own years in dissemination. We’ll discuss what topics were the most interesting (i.e., downloaded) to BCBAs and hypothesize as to what this might mean to the field. Don’t worry: In between sipping egg nog and looking at data, we also take the time to celebrate how old our shows (and therefore us hosts) are. Here’s to 2025!

25 Dec 20241h

We were so thrilled to be invited to Utica, NY to experiences Upstate Caring Partners 2024 conference: Contemporary and Compassionate Approaches to Support Individuals with IDD. Aside from sampling the local cuisine, hosting a live trivia event, and chairing a panel with some amazing folks (including previous guests Dr. Rajaraman and Dr. Weiss, we had a few minutes to break out the ol’ digital recorder and check in with folks at the poster session. Here are just a few of the great presentations from the floor that we think you’ll enjoy. Hope to see folks back upstate in 2026!

23 Dec 202436min

Though many of us likely use AI to auto-filI search results and find the name of songs, behavioral health has been steadily increasing the use of artificial intelligence in new and interesting ways for years. But is the tech outrunning our ability to ethically implement it? Dr. David Cox brings his deep knowledge of deep learning to the show this week to review what AI can offer, will offer, and what behavior analysts need to do to be prepared to accept or refuse its call. Though the part about AI doing all the scheduling does sound pretty great. This episode is available for 1.0 LEARNING CEU. Articles discussed this episode: Cox, D.J. & Jennings, A.M. (2024). The promises and possibilities of artificial intelligence in the delivery of behavior analytic services. Behavior Analysis in Practice, 17, 123-136. doi: 10.1007/s40617-023-00864-3 Jennings, A.M. & Cox, D.J. (2024). Starting the conversation around the ethical use of artificial intelligence in applied behavior analysis. Behavior Analysis in Practice, 17, 107-122. doi: 10.1007/s40617-023-00868-z If you're interested in ordering CEs for listening to this episode, click here to go to the store page. You'll need to enter your name, BCBA #, and the two episode secret code words to complete the purchase. Email us at abainsidetrack@gmail.com for further assistance.

18 Dec 20241h 10min

Man, the more episodes we do around how well-meaning authorities tend to fall back to maintaining the inequitable status quo, the more examples of it we find. This week, we look at many of the practices in schools that continue to perpetuate ableism and what behavior analysts can do to disrupt these trends. And, spoiler alert, half of these practices were actually implemented to INCREASE access to education for individuals with disabilities. It turns out just trying to be nice doesn’t actually fix much without a solid understanding of individual perspectives. So, y’know, listen to the episode and don’t be “that guy”. This episode is available for 1.0 LEARNING CEU. Articles discussed this episode: Storey, K. (2007). Combating ableism in schools. Preventing School Failure, 52, 56-58. doi: 10.3200/PSFL.52.1.56-58 Bottema-Beutel, K., Kapp, S.K., Lester, J.N., Sasson, N.J., & Hand, B.N. (2021). Avoiding ableist language: Suggestions for autism researchers. Autism in Adulthood, 3, 18-29. doi: 10.1089/aut.2020.0014 Timberlake, M. (2020). Recognizing ableism in educational initiatives: Reading between the lines. Research in Educational Policy and Management, 2, 84-100. doi: 10.46303/repam.02.01.5 If you're interested in ordering CEs for listening to this episode, click here to go to the store page. You'll need to enter your name, BCBA #, and the two episode secret code words to complete the purchase. Email us at abainsidetrack@gmail.com for further assistance.

11 Dec 20241h 22min