Prediction and Probabilities: Three foundational equations to successful behavior reduction
Presented by Matt Harrington

This course, “Predictions and Probabilities: Three Foundational Equations to Successful Behavior Reduction,” explores the core principles of behavior analysis through the lens of three pivotal equations: contingency space analysis, the matching law, and the percentile schedule. Designed for behavior analysts seeking to enhance their clinical decision-making skills, the course emphasizes the importance of understanding foundational equations to predict and influence behavior change effectively. Participants will learn how to apply these equations to real-world scenarios, ensuring interventions are individualized and ethically sound. Through a combination of theoretical exploration and practical examples, the course aims to deepen participants' understanding of behavior reduction strategies and improve their ability to implement successful interventions.
Register free & watch nowCancel any time. Cert delivered to your inbox the moment you pass the quiz.
Learner ratings
from 33 learners
100% would recommend this CEU to other professionals in their field (13 responses)
“This was clear and informative presentation. The examples helped connect the concepts to practical behavior-analytic applications, and the content was relevant to clinical practice.”
— Monica L.“So much to digest in this one! Will happily be rewatching this to gain better understanding :-)”
— Melissa U.“I found this presentation valuable and relevant”
— Bridget M.“A lot of information in a short time. Thank you!”
— Sonya W.“Too long for 1 CEU...supposed to only be 50 mins per CEU. Should have earned 2.”
— Lee D.“I really enjoyed learning how reinforcement, value (quantity, quality, speed) can play into reinforcement delivery, reducing interfering behaviors (reinforcement following Pbx) and graphing/math with pairing can be studied more and predicted in future sessions. Really neat presentation.”
— Juliana P.
About this CEU
This course, “Predictions and Probabilities: Three Foundational Equations to Successful Behavior Reduction,” explores the core principles of behavior analysis through the lens of three pivotal equations: contingency space analysis, the matching law, and the percentile schedule. Designed for behavior analysts seeking to enhance their clinical decision-making skills, the course emphasizes the importance of understanding foundational equations to predict and influence behavior change effectively. Participants will learn how to apply these equations to real-world scenarios, ensuring interventions are individualized and ethically sound. Through a combination of theoretical exploration and practical examples, the course aims to deepen participants' understanding of behavior reduction strategies and improve their ability to implement successful interventions.
What you'll learn
- 1Learning Objectives
- 2By the end of this session, participants will be able to:
- 3Understand the foundational principles of behavior analysis and their application in behavior reduction strategies.
- 4Analyze and apply the contingency space analysis to assess contingency strength and predict behavior change outcomes.
- 5Utilize the matching law to evaluate reinforcement rates and make informed clinical decisions regarding behavior interventions.
- 6Implement the percentile schedule to quantify and guide the shaping process, enhancing the precision and effectiveness of interventions.
- 7Reflect on ethical considerations and individualization in behavior interventions, ensuring alignment with personal and professional guardrails.
Concepts in this CEU
More from The Behaviorist Bookclub
Empowering Autonomy and Self-Management in ADHD Learners
The Behaviorist Bookclub
Shaping Behavior Change when ADHD is in the Picture
The Behaviorist Bookclub

From Hours to Competence: Assessing and Developing Supervisee Skills
The Behaviorist Bookclub
OpenCEU is supported by advertising from third-party sponsors. Sponsors are clearly labeled, have no influence over course content, instructors, or CEU decisions, and never appear on certificates. The BACB does not sponsor, approve, or endorse OpenCEU sponsors or their products.
