Purpose: This study was done to verify the validity and reliability of a Psychiatric Nurses' Image Scale (PSYNIS) for Korean psychiatric and mental health nurses. Methods: A methodological study design was used with an exploratory factor analysis, Pearson's correlation, and a fitness of the modified mode for validity. Cronbach's ⍺ coefficients and an alternative-form method for reliability were used. Psychiatric Nurses' Image Scale (PSYNIS) was tested with 345 psychiatric and mental health nurses, residing in G city, J city, and J province. Data were collected from Jun. 1 to Aug. 2, 2012. Responses were obtained from respondents through self reports method and each item had a possible score of 5. Collected data were analyzed using the SPSS 20.0 and LISREL 8.54 programs. Results: The 28 items making up the instrument were classified into the following 4 factors: 'Professionalism', 'Activism', 'Coordination competence', and 'Personalism'. These factors explained 63.2% of the total variance. Fitness of the modified mode was good (x 2 = 1052.30, RMSEA=.05, GFI=.90, AGFI=.86, NFI=.97, and CFI=.98). The reliability of the PSYNIS was .95 (Cronbach's ⍺). Conclusion: Results of the present study suggest that the PSYNIS is useful for efficiently evaluation of the image of psychiatric nurses.
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.