Personal Factors and Clinical Learning Environment as Predictors of Nursing Students' Readiness for Practice: A Structural Equation Modeling Analysis

Lee, Tae Wha; Lee, Su Jeong; Yoon, Yea Seul; Ji, Hyunju; Yoon, Sookhee; Lee, Sanga; Ji, Yoonjung

doi:10.1016/j.anr.2023.01.003

Cited by 11 publications

(12 citation statements)

References 42 publications

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“…The HTMT value was .47. As this value is below .85 (Lee, 2023), discriminant validity between the two reflective constructs is also confirmed. Finally, the internal consistency of the final scale is outstanding, with Cronbach’s alpha and McDonald’s omega values at .98 and .99, respectively.…”

Section: Resultsmentioning

confidence: 52%

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Development and Validation of the Bystander Engagement Scale for Witnessed Intimate Partner Violence: A South Korean Version

Park,

2024

J Interpers Violence

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Bystanders play a crucial role in assisting and rescuing victims of intimate partner violence (IPV) or sexual assault, thereby preventing further harm. Consequently, an increasing amount of research has focused on improving bystander interventions in such situations. While many existing scales that measure bystanders’ willingness to intervene and their behaviors are likely tailored to Western settings and primarily focused on preventing sexual assaults, pursuing diversity to make these scales applicable to a variety of contexts is necessary. This study aimed to develop and validate a scale from South Korean samples that measure the likely level of bystander engagement in witnessed IPV situations, named the Bystander Engagement Scale for Witnessed Intimate Partner Violence (BESW-IPV). Preliminary items, developed to describe various IPV situations that a bystander might witness, underwent content validity testing through expert review and cognitive focus group interviews. Afterward, the scale was administered to 311 participants from the target population in South Korea. The scale’s factor structure was assessed through exploratory factor analysis (EFA) and confirmed through confirmatory factor analysis (CFA). The reliability and validity were rigorously assessed. The final version of the BESW-IPV comprised 28 items. Through EFA, “direct IPV indicators” and “indirect IPV indicators” were identified. Together, these factors accounted for 76.10% of the total variance. CFA affirmed that the final model offers an acceptable fit. The scale’s convergent and discriminant validities were also well established. The Cronbach’s alpha and the McDonald’s omega values were 0.98 and 0.99, respectively. In contrast to many existing tools that measure bystander intervention predominantly within the confines of Western educational settings, we believe that the BESW-IPV can be applied in broader contexts, especially in patriarchal environments. Further research is required to translate and validate this tool in different cultural contexts.

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Section: Resultsmentioning

confidence: 52%

“…To enhance the model fit, we referred to Nizar et al (2019) and Lee (2023). Items with standardized regression weights greater than .70 indicated satisfactory factor loading; hence, items falling below this threshold were removed.…”

Section: Resultsmentioning

confidence: 99%

Development and Validation of the Bystander Engagement Scale for Witnessed Intimate Partner Violence: A South Korean Version

Park,

2024

J Interpers Violence

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“…Various studies have shown that it is essential for students to adapt to the nursing role to become efficient nurses, which is affected by various factors [ 29 , 30 ]. Lee et al showed that students’ self-confidence is essential in transforming them into nurses, with education being one of the main effective factors in this process [ 31 ]. The results of this study showed that this model provides a suitable basis to increase students’ self-confidence to make changes.…”

Section: Discussionmentioning

confidence: 99%

Nursing students’ experiences from clinical education using the TPSN model

Zamanzadeh,

Valizadeh,

Ghahramanian

et al. 2024

BMC Nurs

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Background The TPSN model is an innovative model to create an integration and structured relationship between educational and healthcare provider institutions. This model is done to reduce the theoretical-practical gap in nursing. The present study aimed to explore the experiences of nursing students. Methods In a conventional content analysis, 11 undergraduate nursing students, 7 graduate nursing students, and 4 doctoral students were selected. Data was collected through focus group discussions and individual interviews. Results The findings from analyzing the students’ experiences who had received education using this model resulted in four main categories: the feeling of being a nurse, an integrated and collaborative clinical education platform, the development of nursing clinical education, and educational challenges. Conclusion The TPSN model provides a suitable platform for nursing clinical education. This model helps students integrate theoretical knowledge with clinical practice and helps them act as professional nurses in the future.

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“…A longitudinal study was conducted using the datasets of the frst and second surveys of the New Nurse e-Cohort Study [29] in South Korea (Figure 2). Te New Nurse e-Cohort Study is a longitudinal panel study that tracks senior nursing students for three years to identify factors infuencing the successful transition to new nurses.…”

Section: Study Design and Data Sourcementioning

confidence: 99%

Predicting New Graduate Nurses’ Retention during Transition Using Decision Tree Methods: A Longitudinal Study

Lee,

Yoon,

2024

Journal of Nursing Management

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Background. Although retaining new nurses is imperative for the future of the nursing profession, it remains a challenging task in the healthcare industry. Understanding the career journey of new graduates as they transition from students to nurses is vital. However, longitudinal studies investigating the factors influencing retention during this period are lacking. Aim. The aim of this study is to identify the influencing factors and develop a longitudinal prediction model for new graduate nurse retention. Methods. A secondary data analysis was conducted using the New Nurse e-Cohort Study dataset from two survey periods, November–December 2020 and February–March 2022. The participants were categorized into either retention or turnover groups based on their turnover experiences. A decision tree based on classification and regression tree (CART) analysis was utilized. Results. Of the total 586 participants, 463 (79%) were in the retention group. The CART model highlighted that new nurses’ retention was significantly associated with younger age, higher readiness for practice (clinical problem-solving) during the nursing program, lower transition shock (such as confusion in professional values, loss of social support, and conflicts between theory and practice), and a higher person-environment fit (person-job fit). The predictive accuracy of the CART model was 79.7%. Conclusion. To retain new nurses, nursing educators and hospital managers should collaborate to prepare nursing students for actual practice, offer support during organizational socialization, and foster healthy professional values for competence in the workplace. Implications for Nursing Management. Transforming the educational strategies of nursing programs and hospital management policies is imperative to ultimately enhance the retention of new graduate nurses.

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Personal Factors and Clinical Learning Environment as Predictors of Nursing Students' Readiness for Practice: A Structural Equation Modeling Analysis

Cited by 11 publications

References 42 publications

Development and Validation of the Bystander Engagement Scale for Witnessed Intimate Partner Violence: A South Korean Version

Development and Validation of the Bystander Engagement Scale for Witnessed Intimate Partner Violence: A South Korean Version

Nursing students’ experiences from clinical education using the TPSN model

Predicting New Graduate Nurses’ Retention during Transition Using Decision Tree Methods: A Longitudinal Study

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