Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/7
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Article Citation - Scopus: 1The Relationship Between Turnover Intention And Compulsory Citizenship Behaviour Of Nurses(Association of Executive Nurses, 2024) Selçuk, D.; Harmancı Seren, A.K.Aim: This study aimed to examine whether there is a relationship between turnover intention and compulsory citizenship behavior among nurses working in a training and research hospital in Istanbul. Method: The data of this descriptive and relationship-seeking study were collected with the participation of 191 nurses working in a training and research hospital in İstanbul between December 2016 and February 2017. Research data was collected through a questionnaire aimed at learning participants' personal information, Turnover Intention Scale and Compulsory Citizenship Behavior Scale. Data was analyzed on a computer. Descriptive statistics, parametric and non-parametric comparison analyze and Pearson correlation analyzes were performed. Results: Point averages of the nurses between “Turnover Intention Scale” and “Compulsory Citizenship Behavior Scale” were 2.90 (SD=1.11) and 3.42 (SD=0.90) respectively. The correlation coefficient for the relationship between the intention to quit the job and compulsory citizenship behavior was found to be r=0.315 (p<0.001). Conclusion: It has been determined that nurses have the intention to leave the job below the medium level, they exhibit compulsory citizenship behavior at the above medium level, and there is a positive, medium strength and very significant linear relationship between the intention to leave the job and the compulsory citizenship behaviour. © 2024 The Authors.Article Citation - Scopus: 1Nurse Unemployment in the Country Which Has Nursing Shortage: Investigation of the Reasons in the Aspect of Nurses(Informa UK Ltd, 2024) Soydaş, K.; Harmancı Seren, A.K.Turkey is the country which has serious nursing shortage. However, still there are many nurses unemployed and looking for an appropriate job. Therefore, this descriptive study aimed to examine unemployment reasons among nurses in Turkey. The study collected data from 266 unemployed nurses through an online questionnaire included demographic, socioeconomic, professional, and working characteristics, job expectations, and reasons for unemployment. Descriptive statistics were used in data analysis. The study findings revealed that the nurses thought they were unemployed due to a lack of information exchange between educational institutions and health labor markets, low wages, and intense workload. © 2024 Taylor & Francis Group, LLC.Article Citation - WoS: 1Citation - Scopus: 1Assessment of the Psychometric Properties of the Online Education Student Satisfaction Scale: a Methodological Study(Springer Publishing Company, 2024) Harmancı Seren, A.K.; Alan, H.; Türkmen, E.; Gungor, S.; Baykal, Ü.; Seren, Arzu Kader HarmanciBackground and Purpose: Assessing student satisfaction is essential in evaluating the quality of education. The number of valid and reliable tools that measure students’ satisfaction with online education is limited. This methodological study aimed to assess the psychometric properties of the online education student satisfaction scale. Methods: Eleven academicians from the nursing field provided expert opinions on content validity. Separate 25 students evaluated the language clarity of the draft scale. The study sample included 525 third- and fourth-year nursing students. Finally, a group of 30 nursing students different from the sample participated in the test–retest. The study created an item pool based on the recent literature. The researchers calculated the items’ content validity rates and the scale’s content validity index by taking the experts’ opinions. In addition, item–total score correlation analysis, exploratory factor analysis, discrimination analysis, stability test, and internal consistency analysis were performed. Results: An item with a low-correlation value was excluded from the scale. The correlation coefficients of the remaining items were between.536 and.811. In the second round of exploratory factor analysis, a five-factor structure emerged that explained 72.1% of the total variance. In addition, item discrimination, stability, and internal consistency test results ensured that the scale was valid and reliable. Conclusions: The online education student satisfaction scale with five subdimensions containing 28 items is a valid and reliable tool. Researchers, educators, and managers may use it to evaluate students’ satisfaction with online education. © Copyright 2024 Springer Publishing Company, LLC.