ABA 503 | Section 2 Exam Study Guide (50 Q&As) | Reinforcement, Schedules, Core ABA Concepts

This is a structured and content-rich study guide for ABA 503 – Section 2 Exam (2025/2026 academic year), featuring 50 accurately answered questions designed to assist students in mastering foundational and advanced topics in Applied Behavior Analysis (ABA). With a strong focus on behavior change principles and reinforcement systems, this guide is ideal for university students in psychology, behavioral sciences, education, special education, or those pursuing BCBA/RBT certification. Topics are based on the seven dimensions of ABA and core behavior analytic principles, including: The qualities of effective ABA: Applied, Behavioral, Analytic, Technological, Conceptually Systematic, Effective, and Generality Detailed breakdown of reinforcement concepts: positive/negative reinforcement, conditioned and unconditioned reinforcers, deprivation, EO/AO Application of the Premack Principle and generalized conditioned reinforcers Comprehensive coverage of reinforcement schedules: fixed/variable ratio and interval, DRH, DRL, progressive, chained, mixed, tandem, concurrent, and alternative/conjunctive schedules Understanding of extinction and response patterns like limit hold and response duration schedules The Q&A format allows for efficient memorization and testing, making this guide highly suitable for: University-level ABA courses (undergraduate and graduate) BCBA and RBT exam prep Students of psychology and education learning behavior modification Professionals and trainees in applied behavior therapy programs With up-to-date content aligned with academic standards, this guide ensures students can confidently apply theoretical concepts in both testing and real-world scenarios. Keywords: ABA 503, reinforcement, extinction, DRH, DRL, response duration, EO, AO, conditioned reinforcers, unconditioned reinforcers, fixed ratio, variable interval, fixed interval, concurrent schedules, chained schedules, tandem schedules, Premack principle, applied behavior analysis, behavior change, generalized reinforcer