12.5 Self-Management Procedures

Board Certified Assistant Behavior Analyst BCaBA

Track your progress as you read

Finished sections get a check mark.

1 Introduction

About the BCaBA Exam: 2026 Format, Fees, Blueprint, and Study Plan

2 Chapter 1: Behaviorism and Philosophical Foundations

1.1 Goals of Behavior Analysis & Foundational Assumptions 1.2 Radical Behaviorism vs. Methodological Behaviorism & Rejection of Mentalism 1.3 Seven Dimensions of Applied Behavior Analysis & Branches of Behavior Analysis

3 Chapter 2: Core Behavioral Principles & Contingencies

2.1 Behavior, Response Classes, Stimulus Classes, and Conditioning Paradigms 2.2 Positive and Negative Reinforcement & Schedules of Reinforcement 2.3 Positive and Negative Punishment & Unwanted Effects of Aversives 2.4 Unconditioned, Conditioned, and Generalized Reinforcers and Punishers

4 Chapter 3: Operant Mechanisms & Complex Principles

3.1 Operant and Respondent Extinction Processes 3.2 Motivating Operations vs. Discriminative Stimuli 3.3 Stimulus Control, Equivalence, and Elementary Verbal Operants 3.4 Rule-Governed vs. Contingency-Shaped Behavior; Instructions, Rules, and Modeling

5 Chapter 4: Measurement Systems & Interobserver Agreement

4.1 Operational Definitions and Direct Continuous Measurement 4.2 Discontinuous Measurement Systems & Measurement Artifacts 4.3 Measurement Quality: Validity, Accuracy, Reliability, and IOA Calculations

6 Chapter 5: Data Display & Visual Analysis

5.1 Graphing Conventions: Line Graphs, Cumulative Records, and Standard Celeration Charts 5.2 Visual Analysis of Graphed Data: Level, Trend, Variability, and Immediacy of Effect 5.3 Baseline Logic and Data-Based Clinical Decision Making

7 Chapter 6: Experimental Design & Internal Validity

6.1 Characteristics of Single-Case Experimental Designs & Experimental Control 6.2 Core Single-Case Designs: Reversal, Multiple Baseline, Alternating Treatments, and Changing Criterion 6.3 Threats to Internal Validity & Social/External Validity

8 Chapter 7: Ethics in Behavior Analysis: Core Responsibilities & Client Rights

7.1 BACB Ethics Code Structure, Core Principles, and Professional Competence 7.2 Responsibility to Clients: Confidentiality, Informed Consent, and Client Dignity 7.3 Multiple Relationships, Conflicts of Interest, and Gift-Giving Prohibitions 7.4 Risks of Unethical Conduct, Public Statements, and Transitioning Clients and Supervisors

9 Chapter 8: Ethics in Assessment, Intervention, & Regulatory Compliance

8.1 Ethical Standards in Behavior Assessment and Intervention Selection 8.2 Mandated Reporting, Legal Obligations, and Documentation/Billing Integrity 8.3 Cultural Responsiveness, Interprofessional Collaboration, and Disciplinary Reporting 8.4 Interpersonal Skills for Professional Relationships and Ongoing Professional Development

10 Chapter 9: Behavioral Assessment & Functional Assessment

9.1 Indirect Assessment Methods and Review of Records 9.2 Descriptive Functional Behavior Assessment: Direct Observation and Data Collection 9.3 Experimental Functional Analysis (Analog FA) and Specialized Variations 9.4 Preference and Reinforcer Assessments & Social Validity 9.5 When Services Are Warranted, Skills Assessment, and Contextual Fit

11 Chapter 10: Foundational Behavior-Change Procedures

10.1 Differential Reinforcement Procedures (DRA, DRI, DRO, DRL, DRH) 10.2 Prompting Strategies, Prompt Hierarchies, and Systematic Prompt Fading 10.3 Shaping (Successive Approximations) and Chaining Procedures 10.4 Token Economies, Contingency Contracts, and Group Contingencies

12 Chapter 11: Antecedent & Function-Based Interventions

11.1 Functional Communication Training (FCT) and Noncontingent Reinforcement (NCR) 11.2 Antecedent Manipulations: High-Probability Sequences, Premack Principle, and Choice Architecture 11.3 Programming for Generalization and Maintenance: Stokes and Baer (1977) Tactics

13 Chapter 12: Teaching New Skills: Acquisition Arrangements, Discriminations, Verbal Behavior, and Self-Management

12.1 Discrete-Trial, Free-Operant, and Naturalistic Teaching Arrangements 12.2 Teaching Simple and Conditional Discriminations 12.3 Teaching Elementary Verbal Operants: Mands, Echoics, Tacts, and Intraverbals 12.4 Procedures That Promote Emergent Relations and Generative Performance 12.5 Self-Management Procedures

14 Chapter 13: Intervention Development, Fidelity, & Monitoring

13.1 Writing Socially Valid, Observable, and Measurable Behavioral Goals 13.2 Designing Behavior Support Plans: Function-Based Multi-Component Architecture 13.3 Treatment Integrity Monitoring, Fidelity Measurement, and Data-Based Plan Revision 13.4 Managing Behavioral Relapse, Transition Planning, and Systematic Discharge Criteria

15 Chapter 14: Supervisory Roles, Behavioral Skills Training, & BACB Requirements

14.1 The BCaBA Role: Practicing Under Ongoing BCBA Supervision and Professional Boundaries 14.2 Behavioral Skills Training (BST) for Direct Care Staff and RBTs 14.3 Objective Performance Monitoring, Performance Feedback, and Supervision Documentation 14.4 Promoting Cultural Humility, Equity, and Ethical Supervision in Behavioral Healthcare 14.5 Effective Supervisory Relationships: Practices, Expectations, and Supervision Goals 14.6 Performance Management, Performance Diagnostics (PDC-HS), and Evaluating Supervision

12.5 Self-Management Procedures

Key Takeaways Explain This Topic AI

Self-management is the personal application of behavior-change tactics: one response (the controlling response) changes the probability of another response (the controlled response) in the same person (Skinner, 1953).

Self-monitoring, observing and recording one's own behavior, often changes the behavior through reactivity, and accuracy can be checked by comparing the learner's record with an observer's record.

Common components include goal setting, antecedent changes, self-instruction, self-monitoring, self-evaluation against a standard, and self-delivered consequences.

Teach self-management with behavioral skills training, reinforce accurate recording at first, and then fade external checks while continuing to monitor outcome data.

Last updated: October 2026

What Self-Management Is

Self-management is the personal application of behavior-change tactics that produces a desired change in one's own behavior (Cooper, Heron, & Heward, 2020). Skinner (1953) described it as two responses in the same person: a controlling response (setting an alarm, writing a checklist, recording each cigarette) that changes the probability of a controlled response (getting up on time, completing tasks, smoking less). Self-management does not mean behavior is caused by willpower; the controlling responses are themselves learned and maintained by contingencies.

Why teach it? Self-management travels with the learner into settings where no staff member is present, so it supports generalization and maintenance. It reduces dependence on adults, can handle behaviors others cannot observe (private study time, thoughts), and is often preferred by older learners because it increases independence.

Antecedent-Based Tactics

Many self-management tactics change the environment before the behavior occurs:

Manipulating motivating operations : eating a healthy snack before grocery shopping to reduce impulse buying.

Providing response prompts : phone reminders, sticky notes, a checklist taped to the bathroom mirror.

Arranging or removing cues : studying at a clear desk with the phone in another room; laying out gym clothes the night before.

Changing response effort : making the desired behavior easier (pre-packed lunches) and the undesired behavior harder (not keeping snacks at home).

Precommitment : making a public commitment or arranging a contingency with someone else in advance.

Self-Monitoring

Self-monitoring is observing and recording one's own behavior. Learners can use a paper checklist, a wrist counter, an app, or a vibrating timer that prompts them to ask, "Was I on task?" Two features make it important:

Reactivity : the act of recording often changes the behavior in the desired direction, even before any other consequence is added. This is helpful clinically, although it means self-monitoring data may not reflect pre-intervention levels.

Accuracy : self-recorded data are useful only if they are reasonably accurate. A common procedure is matching : an adult records the same behavior and the learner earns a bonus for matching the adult's record, regardless of the score itself (Rhode, Morgan, & Young, 1983). As accuracy improves, matching checks become less frequent.

Self-monitoring works best when the target is clearly defined, the recording method is simple, and the behavior is recorded close to when it occurs.

Self-Evaluation and Self-Administered Consequences

Self-evaluation compares one's performance with a goal or standard ("I finished 8 of 10 problems; my goal was 8").

Self-administered consequences are consequences the learner delivers after meeting (or missing) the goal: points, a preferred activity, or a small purchase. A conceptual caution: if the learner can take the reinforcer at any time, its effect probably depends on rules and on other people's contingencies rather than on simple self-reinforcement. In practice, external checks and accountability (a teacher reviewing the points) help keep self-administered systems honest.

Self-Instruction

Self-instruction teaches the learner to state rules to themselves to guide behavior. In Meichenbaum and Goodman's (1971) sequence, the adult models the task while talking aloud, the learner performs it with the adult's instructions, then with the learner's own overt instructions, then whispered, and finally covert self-instructions. Self-instruction turns rule-governed behavior (section 3.4) into a portable tool.

Habit Reversal

Habit reversal (Azrin & Nunn, 1973) is a self-management package for repetitive behaviors such as nail biting, hair pulling, and tics. Its key components are:

Awareness training : learning to detect each occurrence and the early warning signs.

Competing response training : practicing a response incompatible with the habit (for example, clenching the fists for a minute or more instead of nail biting).

Social support : a partner praises the competing response and prompts it when the habit occurs.

Teaching Self-Management Step by Step

Step What the BCaBA does

1. Define the target Write an operational definition the learner understands, ideally with examples and non-examples.

2. Choose components Select antecedent tactics, the recording method, the goal, and the consequence.

3. Teach with BST Explain, model, rehearse, and give feedback on recording and evaluating.

4. Check accuracy Compare the learner's record with an observer's record; reinforce accurate recording.

5. Fade support Reduce prompts, matching checks, and adult-delivered reinforcement gradually.

6. Monitor outcomes Keep collecting data on the controlled behavior; if it slips, add support back.

Worked Example

Jordan, a 14-year-old, completes about half of his independent seatwork. The BCaBA and Jordan agree on a goal of finishing 80% of assigned problems. Jordan sets out his materials before class (antecedent tactic), uses a vibrating timer every 5 minutes to mark whether he was working (self-monitoring), compares his total with the goal at the end of class (self-evaluation), and earns 10 minutes of computer time when he meets it (self-administered consequence). For the first two weeks, the teacher records at the same time and Jordan earns a bonus point when their records match. Once agreement stays high for several days, the teacher checks only on random days. Completion rises to about 85% and stays there as checks are faded.

Applications

Self-management has been used to increase on-task behavior and assignment completion in classrooms, productivity and accuracy at work, exercise and medication adherence, and social initiations, and to decrease stereotypy and habits. You can use the same tactics on yourself while studying for this exam: set a daily goal, record study minutes, evaluate weekly, and arrange a consequence.

Common Exam Traps

Assuming self-monitoring requires accurate data to work. Reactivity can change behavior even when recording is imperfect, but accuracy matters for decision-making.

Calling an adult's token delivery "self-management." The learner must perform the controlling responses.

Skipping fading. A self-management system that needs constant adult checks has not yet transferred control.

Confusing the controlling and controlled responses. Setting the alarm is controlling; getting up is controlled.