Toward the Operationalization of Self-Compassion: A Behavior Analytic Conceptual Framework for Practitioner Development

Abstract Burnout, compassion fatigue, secondary traumatic stress, and attrition represent significant and growing challenges in applied behavior analysis. These challenges all collectively impact practitioner well-being, yet strategies to support such well-being initiatives have received limited systematic attention in the behavior-analytic literature. In this discussion, I posit that the concept of self-compassion represents an important gap in supporting practitioner well-being. Self-compassion, as defined by Neff, includes three interrelated components: (1) responding to personal suffering with kindness rather than self-judgment, (2) recognizing struggle as part of the shared human condition, and (3) maintaining balanced awareness of difficult emotions. Across health, education, and psychology fields, self-compassion has demonstrated strong empirical support as a protective factor against burnout, emotional exhaustion, anxiety, experiential avoidance, and compassion fatigue. Drawing on Neff’s model and translating its components into behavior-analytic terms grounded in radical behaviorism, relational frame theory, and acceptance and commitment training, in this article, I describe a conceptual foundation for self-compassion within applied behavior analysis, propose a four-component training framework, and offer directions for future research.

Authors

Institutions

Publication Details

Journal
Behavior Analysis in Practice
Published
2026-10-29
DOI
https://doi.org/10.1007/s40617-026-01244-3
Primary Topic
Mindfulness and Compassion Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward the Operationalization of Self-Compassion: A Behavior Analytic Conceptual Framework for Practitioner Development

Reva Mathieu-Sher
Behavior Analysis in Practice
Mindfulness and Compassion Interventions
article

Toward the Operationalization of Self-Compassion: A Behavior Analytic Conceptual Framework for Practitioner Development

Reva Mathieu-Sher
article en

Abstract

Abstract Burnout, compassion fatigue, secondary traumatic stress, and attrition represent significant and growing challenges in applied behavior analysis. These challenges all collectively impact practitioner well-being, yet strategies to support such well-being initiatives have received limited systematic attention in the behavior-analytic literature. In this discussion, I posit that the concept of self-compassion represents an important gap in supporting practitioner well-being. Self-compassion, as defined by Neff, includes three interrelated components: (1) responding to personal suffering with kindness rather than self-judgment, (2) recognizing struggle as part of the shared human condition, and (3) maintaining balanced awareness of difficult emotions. Across health, education, and psychology fields, self-compassion has demonstrated strong empirical support as a protective factor against burnout, emotional exhaustion, anxiety, experiential avoidance, and compassion fatigue. Drawing on Neff’s model and translating its components into behavior-analytic terms grounded in radical behaviorism, relational frame theory, and acceptance and commitment training, in this article, I describe a conceptual foundation for self-compassion within applied behavior analysis, propose a four-component training framework, and offer directions for future research.

Behavior Analysis in Practice
Duquesne University (US)
Good health and well-being
Openalex Percentile: Top 9%
Mindfulness and Compassion Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon