# Mapping resilience: Development of the resilience process scales (RPS) and resilience profiles during adversity

## TL;DR

This paper introduces a new four-stage model of resilience and identifies distinct resilience profiles that predict psychological outcomes during adversity, such as the COVID-19 pandemic.

## Contribution

The paper proposes a novel four-stage process model of resilience and develops a validated measure to assess resilience profiles across five domains.

## Key findings

- Four distinct resilience profiles were identified, each predicting different psychological and behavioral outcomes.
- Lower resilience profiles were linked to higher anxiety, depression, and impulsiveness, while higher resilience profiles showed better coping and well-being.
- The process model of resilience was validated using Bayesian structural equation modeling and latent profile analysis.

## Abstract

The resilience literature is often criticised for lacking clarity in the conceptualisation and measurement of resilience, with the literature yet to consider within-person profiles of resilience and how such profiles might influence reactions to different adverse contexts. To significantly enhance the research area, the current set of studies propose and test a four-stage process model of resilience including proactive (anticipation & minimizing) and reactive (managing & mending) components. We suggest the four processes can function independently within five separate domains (general, physical, social, cognitive, and emotional). Specifically, in Studies 1 (n = 181) and 2 (n = 284) we develop a measure of resilience reflecting our four-stage process model and demonstrated validity of a 13-item measure for each of the five proposed domains via a Bayesian structural equation modelling approach. Focusing on the general domain and based on the four resilience processes (anticipate, minimize, manage, & mend), Study 3 (n = 400) explored resilience profiles in a pilot study, and then confirmed these profiles and their relationship with psychological and behavioral outcomes related to the COVID-19 pandemic in a main study. Using latent profile and latent transition analysis, results revealed four distinct profiles, predicting a range of psychological outcomes. For example, those with lower resilience (particularly profiles with high anticipation but low levels of the other processes), showed higher anxiety (especially with high anticipation), depression, impulsiveness, and lower coping effectiveness. Those with higher resilience (Profile 3 and 4) across the four processes exhibited lower depression, anxiety, and impulsiveness, as well as higher well-being, better perceived coping effectiveness, and preventative behaviors. Taken together the results from the studies presented, support the process model of resilience and underscore the benefits of considering resilience profiles in relation to understanding how people deal with adverse contexts.