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February 12, 2026PLoS ONE0 citationsOpen Access

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

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JPJoseph Anthony PettitBangor UniversitySBStuart BeattieBangor UniversityRRRoss RobertsBangor University

Key Points

  • The aim is to enhance understanding of resilience by developing a four-stage process model and assessing its impact on psychological outcomes.
  • Developed a 13-item resilience measure reflecting a four-stage process model.
  • Utilized Bayesian structural equation modeling for validity testing.
  • Conducted latent profile analysis to explore resilience profiles during COVID-19.
  • Sample sizes included 181 in Study 1, 284 in Study 2, and 400 in Study 3.
  • Identified four distinct resilience profiles based on the four processes.
  • Lower resilience profiles linked to higher anxiety, depression, and impulsiveness.
  • Higher resilience profiles associated with lower anxiety, better coping effectiveness, and enhanced well-being.
  • Evidence supports the proposed four-stage resilience process model.

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.

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Cite This Study

Pettit et al. (2026) studied this question.

synapsesocial.com/papers/698d6edc5be6419ac0d54c84https://doi.org/10.1371/journal.pone.0341581
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