Abstract

Purpose: Psychological resilience has been widely acknowledged as a critical determinant of individual and community well-being following disaster events. Yet, there remains limited consensus on the specific predictors that explain why some individuals demonstrate sustained adaptation while others experience chronic distress. This study critically examines the role of demographic, social, and exposure-related variables in forecasting psychological resilience outcomes among post-disaster recovery communities.

Methodology: Employing a quantitative research design, the study collected cross-sectional survey data from disaster-affected populations using validated resilience and psychopathology measures. Multiple regression analyses were conducted to identify predictors and estimate effect sizes for resilience outcomes. Results were then presented using well-labelled and detailed statistical tables, including measures of association and variance explained.

Findings: The analyses reveal a complex interplay of sociodemographic and psychosocial predictors. Social support emerged as one of the most robust predictors of resilience, whereas disaster exposure severity and prior trauma were consistently associated with diminished resilience scores. Demographic characteristics such as age and gender exhibited nuanced effects, interacting with psychosocial factors to shape resilience outcomes.

Value: By integrating empirical evidence with rigorous quantitative analysis, this study advances theoretical understandings of resilience in post-disaster contexts. The findings challenge simplistic notions of resilience as a fixed trait, highlighting instead its dynamic nature contingent on social and contextual resources.