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April 1, 20260 citationsOpen Access

Structural Prediction of Maslach Burnout Inventory Dimensions

La Profilée — A Structural Prediction for the Maslach Burnout Inventory

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Authors

MMMarc Maibom

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Overview

This analysis derives structural predictions of the Maslach Burnout Inventory dimensions, suggesting new modeling approaches for burnout dynamics.

Key Points

  • The research aims to derive structural predictions for the dimensions of the Maslach Burnout Inventory using first principles.
  • Established a multiplicative condition IK = F · I · C for burnout dynamics.
  • Identified correlations between MBI dimensions Emotional Exhaustion, Depersonalisation, and Personal Accomplishment.
  • Developed four predictions based on structural properties of the multiplicative model.
  • Analyzed existing longitudinal datasets of the MBI for empirical testing.
  • Prediction P1: Models incorporating interaction between EE and DP outperform additive models in high-burnout instances.
  • Prediction P2: A structural breakpoint is detectable in the EE-PA relationship.
  • Prediction P3: Identified a directional lag structure between the onset of EE, DP, and PA collapse.
  • Prediction P4: Found differences in intervention effectiveness based on distinct types of system collapse.
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Cite This Study

Marc Maibom (2026) studied this question.

synapsesocial.com/papers/69ccb79916edfba7beb89b06https://doi.org/10.5281/zenodo.19339368
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