Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?

Objective: To develop and evaluate the Collective Efficacy of Networks (CENS) questionnaire to measure perceived collective efficacy within personal social networks. Methods: A mixed methods approach was used, guided by theory and with extensive input from adults with long-term conditions who completed the initial questionnaire (n = 78) with test-retest assessed at 2 weeks (n = 68). A second sample (n = 85) completed a postal questionnaire including CENS, theoretically linked constructs (self-efficacy, social support) and health outcomes (loneliness, mental and physical health). Results: Principal components analysis demonstrated a two-factor structure with 12-items selected to represent Network responsiveness (8 items, Cronbach's alpha = 0.896) and Access to collective efficacy (4 items, Cronbach's alpha = .773). Good test-retest reliability was established for both subscales (r(icc) =.793-853). Network responsiveness was associated with self-efficacy (r= 342, p = . < 001) and social support (r = .407, p <.001) and predicted reduced loneliness. Access to collective efficacy significantly predicted better mental health; the predictive validity of the subscales improved when combined with self-efficacy. Conclusion: The CENS is an acceptable and psychometrically robust measure of collective efficacy in personal social networks. Practice implications: Measuring collective efficacy with self-efficacy will provide useful information for researchers and policymakers interested in capacity for self-management and social determinants of behaviour change. (C) 2019 The Authors. Published by Elsevier B.V.