Validating Commonly Used Indicators for Community Resilience Measurement

This study quantitatively examines indicators frequently used to estimate community resilience and proposes a method for assessing the validity of in measurement. An array 18 related measures were identified as being common existing methodologies. A comprehensive replicable that can evaluate reliability was then employed explore appropriateness indicator selection by comparing different sets measures. Multiple internal consistency test methods, such Cronbach’s alpha, correlation analysis, cluster classification tree, conducted address varying aspects commonalities selections. Structural equation modeling (SEM) provided system investigate indicators’ overall performance hypothetical construct predicting proxy outcomes. In exploring external validation indicators, importance conducting studies is highlighted. To ensure are ready use among practitioners policymakers, quality needs be tested clearly stated context other empirical outcomes resilience.