Purpose This study aimed to empirically verify the impact of measurement model selection on research outcomes and their interpretation through an analysis of children’s emotional and social problems measured by the Pediatric Symptom Checklist (PSC) using both reflective and formative measurement models. These models were represented by covariance-based structural equation modeling (CB-SEM) and partial least squares SEM (PLS-SEM), respectively.
Methods This secondary data analysis evaluated children’s emotional and social problems as both reflective and formative constructs. Reflective models were analyzed using CB-SEM, while formative models were assessed using PLS-SEM. Comparisons between these two approaches were based on model fit and parameter estimates.
Results In the CB-SEM analysis, which assumed a reflective measurement model, a model was not identified due to inadequate fit indices and a Heywood case, indicating improper model specification. In contrast, the PLS-SEM analysis, assuming a formative measurement model, demonstrated adequate reliability and validity with significant path coefficients, supporting the appropriateness of the formative model for the PSC.
Conclusion The findings indicate that the PSC is more appropriately analyzed as a formative measurement model using PLS-SEM, rather than as a reflective model using CB-SEM. This study highlights the necessity of selecting an appropriate measurement model based on the theoretical and empirical characteristics of constructs in nursing research. Future research should ensure that the nature of measurement variables is accurately reflected in the choice of statistical models to improve the validity of research outcomes.
Purpose This study aimed to develop an untact visit service based on an application that can be utilized in the pediatric intensive care unit (PICU) during COVID-19. Methods This study adopted the double diamond process of service design comprising the discovery, defining, and development stages. Results We developed an untact visit service based on an application that considered the child’s status, schedule, photo, and video messages, and so on. Moreover, we derived a service flow regarding the required roles and the type of flow shown between each stakeholder. Conclusion Considering the ongoing pandemic, the untact visit service is designed to increase rapport and participation of parents, share the child’s information in real-time, and provide one-stop service without increasing healthcare providers’ work. It will be a useful visit service that can be applied and evaluated in various hospital settings and the PICU.
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