(REBROADCAST) Episode 17 - (ETHICS) Ethics in Data Collection

We're wrapping up the summer with a re-release of one of our most popular past episodes. If you've never heard it before, we think you'll appreciate Dr. Karsten's discussion of ethical data collection and usage. And if you listened when it aired back in 2016, it's a great time for a review!

IMPORTANT NOTICE: To earn CEUs for listening, you MUST sign up and listen to this episode on our website to get credit.

To listen for the fun of learning? Just push play!

Email us at abainsidetrack@gmail.com for further assistance.

If you think you're a pro at tracking behavior, this week's episode may be a cue to reflect on just how easy it is to collect bad data. We're joined by special guest Dr. Amanda Karsten to discuss the ethics of taking good data as behavior analysts. Dr. Karsten reviews some great tips on how to go from data squirrel to data hero as well as some practical suggestions to get you using data ethically today! Plus, Diana shares a quiz to find out what kind of data you are and Jackie plugs her new ABA Christmas album. Rob sits in shock at the stark realization that he only uses data for evil.

Learning Objectives:

1. Participants will describe implications of data reliability and treatment integrity.

2. Participants will identify how to accurately choose a measurement system for data collection.

3. Participants will describe ethical implications with data collection.

This episode is available for 1.0 ETHICS CE.

Articles discussed this episode:

LeBlanc, L.A., Raetz, P.B., Sellers, T.P., & Carr, J.E. (2016). A proposed model for selecting measurement procedures for the assessment and treatment of problem behavior. Behavior Analysis in Practice, 9, 77-83. doi: 10.1007/s40617-015-0063-2

Vollmer, T.R., Sloman, K.N., & St. Peter Pipkin, C. (2008). Practical implications of data reliability and treatment integrity monitoring. Behavior Analysis in Practice, 1, 4-11.

Carey, M.K. & Bourret, J.C. (2014). Effects of data sampling on graphical depictions of learning. Journal of Applied Behavior Analylsis, 47, 749-764. doi: 10.1002/jaba.153

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