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 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 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 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 examine general nurses' nursing leadership in patient care using focus group interviews. Methods: This study was conducted after obtaining approval from the ethics committee of a university.After completing a focus group interview with 13 general nurses working at a general hospital, we performed qualitative content analysis according to Kreuger's guidelines. Results: A total of 170 meaningful statement units of nursing leadership that appeared in the clinical experience of general nurses were extracted, and 10 final sub-themes and the three themes connecting them were derived. The themes derived were “leading patients into nursing,” “experiencing the power of growth,” and “facilitating situations that allow focus on patient care.” Conclusion This study helps in understanding the nursing leadership of general nurses in patient care. To encourage general nurses to exert their nursing leadership and grow as autonomous nurses, nursing educators must appropriately present the learning outcomes and content of nursing leadership. Additionally, in the clinical setting, organizational support is necessary to foster understanding and the demonstration of general nurses' nursing leadership.

Purpose: The aim was to develop guidelines for delegating nursing tasks among nurses in integrated nursing care wards. Methods: This was a methodological approach. Literature reviews were conducted on delegation policies and practices for nurses in Korea and other countries to explore the area of nursing delegation. Focus group interviews were performed with nurses to identify the strength and weakness of the delegation of nursing tasks in clinical practice, and qualitative content analysis was conducted based on the interview. Ten areas and 115 items were derived through these steps, and their validity was confirmed using the Delphi technique. Results: The delegation guidelines of nursing tasks consisted of nine domains, 21 sub-categories, and 101 items, including Nurses and nursing assistants' duties, the necessity of delegation, definition of terms, scope of delegation, considerations for delegation, procedure, characteristics, and principles of delegation, and educational content for delegation. Conclusion These guidelines can help nurses to make decisions about delegating nursing tasks according to the delegation procedure.Education on the delegation of nursing tasks is necessary for both nurses and nursing assistants. The guidelines developed in this study can serve as a standard for delegating nursing tasks to ensure patient safety.

Purpose: This study aimed to examine general nurses' nursing leadership in patient care using focus group interviews. Methods: This study was conducted after obtaining approval from the ethics committee of a university.After completing a focus group interview with 13 general nurses working at a general hospital, we performed qualitative content analysis according to Kreuger's guidelines. Results: A total of 170 meaningful statement units of nursing leadership that appeared in the clinical experience of general nurses were extracted, and 10 final sub-themes and the three themes connecting them were derived. The themes derived were “leading patients into nursing,” “experiencing the power of growth,” and “facilitating situations that allow focus on patient care.” Conclusion This study helps in understanding the nursing leadership of general nurses in patient care. To encourage general nurses to exert their nursing leadership and grow as autonomous nurses, nursing educators must appropriately present the learning outcomes and content of nursing leadership. Additionally, in the clinical setting, organizational support is necessary to foster understanding and the demonstration of general nurses' nursing leadership.

Purpose: The aim was to develop guidelines for delegating nursing tasks among nurses in integrated nursing care wards. Methods: This was a methodological approach. Literature reviews were conducted on delegation policies and practices for nurses in Korea and other countries to explore the area of nursing delegation. Focus group interviews were performed with nurses to identify the strength and weakness of the delegation of nursing tasks in clinical practice, and qualitative content analysis was conducted based on the interview. Ten areas and 115 items were derived through these steps, and their validity was confirmed using the Delphi technique. Results: The delegation guidelines of nursing tasks consisted of nine domains, 21 sub-categories, and 101 items, including Nurses and nursing assistants' duties, the necessity of delegation, definition of terms, scope of delegation, considerations for delegation, procedure, characteristics, and principles of delegation, and educational content for delegation. Conclusion These guidelines can help nurses to make decisions about delegating nursing tasks according to the delegation procedure.Education on the delegation of nursing tasks is necessary for both nurses and nursing assistants. The guidelines developed in this study can serve as a standard for delegating nursing tasks to ensure patient safety.

Objective: The impact of the government-initiated senior employment program (GSEP) on geriatric depressive symptoms is underexplored. Unearthing this connection could facilitate the planning of future senior employment programs and geriatric depression interventions. In the present study, we aimed to elucidate the possible association between geriatric depressive symptoms and GSEP in older adults. Methods: This study employed data from 9,287 participants aged 65 or older, obtained from the 2020 Living Profiles of Older People Survey. We measured depressive symptoms using the Korean version of the 15-item Geriatric Depression Scale. The principal exposure of interest was employment status and GSEP involvement. Data analysis involved multiple linear regression. Results: Employment, independent of income level, showed association with decreased depressive symptoms compared to unemployment (p<0.001). After adjustments for confounding variables, participation in GSEP jobs showed more significant reduction in depressive symptoms than non-GSEP jobs (β=-0.968, 95% confidence interval [CI]=-1.197 to -0.739, p<0.001 for GSEP jobs, β=-0.541, 95% CI=-0.681 to -0.401, p<0.001 for non-GSEP jobs). Notably, the lower income tertile in GSEP jobs showed a substantial reduction in depressive symptoms compared to all income tertiles in non-GSEP jobs. Conclusion The lower-income GSEP group experienced lower depressive symptoms and life dissatisfaction compared to non-GSEP groups regardless of income. These findings may provide essential insights for the implementation of government policies and community-based interventions.

Purpose: This study aimed to examine general nurses' nursing leadership in patient care using focus group interviews. Methods: This study was conducted after obtaining approval from the ethics committee of a university.After completing a focus group interview with 13 general nurses working at a general hospital, we performed qualitative content analysis according to Kreuger's guidelines. Results: A total of 170 meaningful statement units of nursing leadership that appeared in the clinical experience of general nurses were extracted, and 10 final sub-themes and the three themes connecting them were derived. The themes derived were “leading patients into nursing,” “experiencing the power of growth,” and “facilitating situations that allow focus on patient care.” Conclusion This study helps in understanding the nursing leadership of general nurses in patient care. To encourage general nurses to exert their nursing leadership and grow as autonomous nurses, nursing educators must appropriately present the learning outcomes and content of nursing leadership. Additionally, in the clinical setting, organizational support is necessary to foster understanding and the demonstration of general nurses' nursing leadership.