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Related Experiment Video

Updated: May 8, 2026

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

Published on: December 15, 2023

Modeling workplace bullying using catastrophe theory.

J Escartin, L Ceja, J Navarro

Nonlinear Dynamics, Psychology, and Life Sciences

|September 10, 2013

Summary

This study found linear models better predict workplace bullying than nonlinear models. Healthy variability in organizations may show nonlinear behavior, while decreases indicate negative workplace behaviors.

Area of Science:

Organizational Psychology
Behavioral Science

Background:

Workplace bullying involves repeated negative behaviors impacting organizational members and their work.
Understanding the dynamics of workplace bullying is crucial for employee well-being and organizational health.

Purpose of the Study:

To compare linear regression models with a nonlinear cusp catastrophe model in predicting workplace bullying perpetration.
To investigate the influence of psychosocial safety climate and bullying victimization on bullying perpetration.

Main Methods:

Assessed perceptions of psychosocial safety climate, bullying victimization, and perpetration in nearly 5,000 workers.
Applied linear and nonlinear dynamical systems approaches, specifically a cusp catastrophe model, for data analysis.
Utilized AICc and BIC indices to compare model fit.

Related Experiment Videos

Last Updated: May 8, 2026

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes

Published on: December 15, 2023

Main Results:

The linear regression model demonstrated a superior fit to the data compared to the cusp catastrophe model.
Findings suggest linear approaches may be more suitable for studying phenomena like workplace bullying.

Conclusions:

Linear modeling appears more effective for analyzing unhealthy workplace behaviors such as bullying.
The healthy variability hypothesis suggests positive behaviors exhibit nonlinear dynamics, whereas decreases in variability may signal negative behaviors.