Measuring Burnout and Well-Being in the Non-Profit Sector

Measuring burnout and well-being in the non-profit sector requires balancing methodological rigour with ethical sensitivity. This article reviews the principal quantitative and qualitative tools used to assess burnout among staff and volunteers, including the Maslach Burnout Inventory (MBI), Copenhagen Burnout Inventory (CBI), and Professional Quality of Life Scale (ProQOL). It discusses their applicability and limitations in diverse cultural and organisational contexts, highlighting how standardised instruments must be complemented by organisational climate surveys and qualitative methods such as interviews and journaling. The article advocates mixed-methods approaches that combine statistical generalisability with experiential depth. It warns that excessive or poorly contextualised measurement can create cynicism and distort organisational learning. Ultimately, measurement should serve as a catalyst for reflection and reform—linking data collection to meaningful action, resource allocation, and strengthened resilience across the non-profit ecosystem.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.64357/neya-gjnps-prvbrnstrgvlstf-07
Primary Topic
COVID-19 Pandemic Impacts
Type
article
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article

Measuring Burnout and Well-Being in the Non-Profit Sector

Anna Neya Kazanskaia
COVID-19 Pandemic Impacts
article

Measuring Burnout and Well-Being in the Non-Profit Sector

Anna Neya Kazanskaia
article en

Abstract

Measuring burnout and well-being in the non-profit sector requires balancing methodological rigour with ethical sensitivity. This article reviews the principal quantitative and qualitative tools used to assess burnout among staff and volunteers, including the Maslach Burnout Inventory (MBI), Copenhagen Burnout Inventory (CBI), and Professional Quality of Life Scale (ProQOL). It discusses their applicability and limitations in diverse cultural and organisational contexts, highlighting how standardised instruments must be complemented by organisational climate surveys and qualitative methods such as interviews and journaling. The article advocates mixed-methods approaches that combine statistical generalisability with experiential depth. It warns that excessive or poorly contextualised measurement can create cynicism and distort organisational learning. Ultimately, measurement should serve as a catalyst for reflection and reform—linking data collection to meaningful action, resource allocation, and strengthened resilience across the non-profit ecosystem.

Openalex Percentile: Top 63%
COVID-19 Pandemic Impacts
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