Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Background Resilience, a critical multi-faceted construct in psychological research, is often measured using Conner-Davison Resilience Scale (CD-RISC-10 and CD-RISC-25). This reliability generalization (RG) meta-analysis delves into evaluate the level of reliability generalization estimate of both CD-RISC-10 and CD-RISC-25 in assessing resilience across diverse populations and settings. Methods A reliability generalization meta-analysis on the psychometric properties of CD-RISC-10 and CD-RISC-25 was conducted, encompassing 27 studies. The original versions’ psychometric properties were systematically retrieved from databases including PubMed, PsycINFO, Google Scholar, Web of Science, Science Direct, and Scopus, with a focus on studies published between 2018 and 2023. The study protocol, including the specific methods for the reliability generalization meta-analysis, was pre-registered in the Prospero database (registration number CRD42023479052). This pre-registration ensures transparency and minimizes the risk of bias in the study design and analysis. Results The analysis revealed a combined estimated overall estimate of Cronbach’s Alpha of 0.89 (95% CI [0.87, 0.91], z = 77.20, p < 0.05), indicating a high level of reliability for CD-RISC-10 and CD-RISC-25. CD-RISC-10 exhibited an overall estimate of Cronbach’s Alpha of 0.8732 (95% CI [0.85, 0.10], z = 69.81, p < 0.05), indicating a high level of reliability, while CD-RISC-25 also demonstrated an overall estimate of Cronbach’s Alpha of 0.8922 (95% CI [0.87, 0.91], z = 77.20, p < 0.001), indicating a high level of reliability. Furthermore, CD-RISC-10 displayed commendable reliability (ωα+ = 0.86), slightly lower compared to the impressive reliability of CD-RISC-25 (ωα+ = 0.89), with a significant difference (t = 0.1159, p > 0.001). The mixed-effects model revealed a non-significant moderating effect of the CD-RISC language version on reliability estimates (coefficient = -0.0017, p <0.05). Conclusion The results affirm the high overall reliability of both CD-RISC-10 and CD-RISC-25, with CD-RISC-25 exhibiting a slightly superior level. The non-significant moderating effect of language version suggests that the psychometric properties of these scales remain robust across different linguistic adaptations. These findings enhance our understanding of the CD-RISC scales, providing practitioners, researchers, and clinicians valuable insights for informed scale selection in diverse contexts. The commendable reliability of both scales underscores their utility in assessing and promoting resilience across varied populations and settings. Future research should explore specific contexts, demographics, and applications, enhancing their utility for diverse populations and settings.
Background Resilience, a critical multi-faceted construct in psychological research, is often measured using Conner-Davison Resilience Scale (CD-RISC-10 and CD-RISC-25). This reliability generalization (RG) meta-analysis delves into evaluate the level of reliability generalization estimate of both CD-RISC-10 and CD-RISC-25 in assessing resilience across diverse populations and settings. Methods A reliability generalization meta-analysis on the psychometric properties of CD-RISC-10 and CD-RISC-25 was conducted, encompassing 27 studies. The original versions’ psychometric properties were systematically retrieved from databases including PubMed, PsycINFO, Google Scholar, Web of Science, Science Direct, and Scopus, with a focus on studies published between 2018 and 2023. The study protocol, including the specific methods for the reliability generalization meta-analysis, was pre-registered in the Prospero database (registration number CRD42023479052). This pre-registration ensures transparency and minimizes the risk of bias in the study design and analysis. Results The analysis revealed a combined estimated overall estimate of Cronbach’s Alpha of 0.89 (95% CI [0.87, 0.91], z = 77.20, p < 0.05), indicating a high level of reliability for CD-RISC-10 and CD-RISC-25. CD-RISC-10 exhibited an overall estimate of Cronbach’s Alpha of 0.8732 (95% CI [0.85, 0.10], z = 69.81, p < 0.05), indicating a high level of reliability, while CD-RISC-25 also demonstrated an overall estimate of Cronbach’s Alpha of 0.8922 (95% CI [0.87, 0.91], z = 77.20, p < 0.001), indicating a high level of reliability. Furthermore, CD-RISC-10 displayed commendable reliability (ωα+ = 0.86), slightly lower compared to the impressive reliability of CD-RISC-25 (ωα+ = 0.89), with a significant difference (t = 0.1159, p > 0.001). The mixed-effects model revealed a non-significant moderating effect of the CD-RISC language version on reliability estimates (coefficient = -0.0017, p <0.05). Conclusion The results affirm the high overall reliability of both CD-RISC-10 and CD-RISC-25, with CD-RISC-25 exhibiting a slightly superior level. The non-significant moderating effect of language version suggests that the psychometric properties of these scales remain robust across different linguistic adaptations. These findings enhance our understanding of the CD-RISC scales, providing practitioners, researchers, and clinicians valuable insights for informed scale selection in diverse contexts. The commendable reliability of both scales underscores their utility in assessing and promoting resilience across varied populations and settings. Future research should explore specific contexts, demographics, and applications, enhancing their utility for diverse populations and settings.
Background/Aim. Despite the demanding nature of their roles in community pharmacies and their critical importance to patient safety, healthcare professionals, including pharmacists, are often not covered by the Resilience Scale. Therefore, the aim of the study was to develop and validate a resilience scale specifically tailored for pharmacists working in community pharmacies. Methods. The study involved the development and validation of a scale aimed at assessing psychological resilience among community pharmacists. The domains and items of the scale were considered from the aspect of review-ing the available literature. Content validation by subject matter experts and subsequent computation of the content validity index ensured the scale?s content validity. Face validity assessment ensured alignment with the in-tended construct. The final scale was distributed to a sample of 504 community pharmacists, after which the scale was analyzed using statistical methods such as factor analysis, multiple regression, and reliability analysis. Additionally, test-retest reliability analysis was performed on 80 community pharmacists. Results. During the brainstorming sessions and focus groups, 95 items were generated within five domains - Confidence, Agility, Coping with stress, Interpersonal relations, and Developmental thinking. Following expert review and rigorous content and face validity analyses, 30 items with Content Validity Index and Face Validity Index values surpassing 0.80 were retained. The scale exhibited strong internal consistency, with Cronbach?s alpha exceeding 0.9. Factor analysis confirmed the five-factor structure, with each component displaying high factor loadings and significant variable loadings on only one component. Conclusion. The Resilience Scale emerged as a promising tool for assessing community pharmacists? resilience, demonstrating robust psychometric properties. The study contributed validity evidence concerning content and internal structure, thereby enhancing the scale?s credibility in evaluating resilience domains within the pharmacy profession.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.