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      Psychometric evaluation of Nurse Professional Competence Scale—Short‐form Chinese language version among nursing graduate students

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          Abstract

          Aim

          The aim of the study was to determine the psychometric properties, construct validity and internal consistency of the Chinese language version of the Nurse Professional Competence scale short form.

          Design

          A methodological design was used.

          Methods

          Questionnaire data from 260 nursing students nearing graduation from 2 universities in China were analysed using confirmatory factor analysis, known‐group validity and internal consistency.

          Results

          The confirmatory factor analysis revealed that the model was acceptable, and the analyses for known‐group validity revealed statistically significant differences in all factors and the total scale of the Nurse Professional Competence scale short form. Internal consistency revealed that Cronbach's alpha values exceeded 0.70 for all factors and the total scale. The Chinese language version of the Nurse Professional Competence scale short form has acceptable construct validity and good internal consistency.

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          Most cited references44

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          Nurse competence scale: development and psychometric testing.

          Self-assessment assists nurses to maintain and improve their practice by identifying their strengths and areas that may need to be further developed. Professional competence profiles encourage them to take an active part in the learning process of continuing education. Although competence recognition offers a way to motivate practising nurses to produce quality care, few measuring tools are available for this purpose. This paper describes the development and testing of the Nurse Competence Scale, an instrument with which the level of nurse competence can be assessed in different hospital work environments. The categories of the Nurse Competence Scale were derived from Benner's From Novice to Expert competency framework. A seven-step approach, including literature review and six expert groups, was used to identify and validate the indicators of nurse competence. After a pilot test, psychometric testing of the Nurse Competence Scale (content, construct and concurrent validity, and internal consistency) was undertaken with 498 nurses. The 73-item scale consists of seven categories, with responses on a visual analogy scale format. The frequency of using competencies was additionally tested with a four-point scale. Self-assessed overall scores indicated a high level of competence across categories. The Nurse Competence Scale data were normally distributed. The higher the frequency of using competencies, the higher was the self-assessed level of competence. Age and length of work experience had a positive but not very strong correlation with level of competence. According to the item analysis, the categories of the Nurse Competence Scale showed good internal consistency. The results provide strong evidence of the reliability and validity of the Nurse Competence Scale.
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            Sample size and power estimates for a confirmatory factor analytic model in exercise and sport: a Monte Carlo approach.

            Monte Carlo methods can be used in data analytic situations (e.g., validity studies) to make decisions about sample size and to estimate power. The purpose of using Monte Carlo methods in a validity study is to improve the methodological approach within a study where the primary focus is on construct validity issues and not on advancing statistical theory. The purpose of this study is to demonstrate how Monte Carlo methods can be used to determine sample size and to estimate power for a confirmatory factor analytic model under model-data conditions commonly encountered in exercise and sport. Because the purpose is pursued by way of demonstration with the Coaching Efficacy Scale II-High School Teams, related sample size recommendations are provided: N > or = 200 for the theoretical model; N > or = 300 for the population model. Technical terms (e.g., coverage) are defined when necessary.
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              Development of competency inventory for registered nurses in the People's Republic of China: scale development.

              Literature review indicated there is no existing nursing competency framework or instrument for Chinese registered nurses. By virtue of its global leadership role in nursing, the International Council of Nurses (ICN) developed an ICN Framework of Competencies for the Generalist Nurses in 2003. On the basis of the ICN's framework, a qualitative study was conducted to explore the expectations of Chinese nurse professionals on nursing competency in the previous study. A competency framework for Chinese registered nurses was formed. This paper describes the development and testing of the Competency Inventory for Registered Nurses (CIRN).
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                Author and article information

                Contributors
                ljxu198311@163.com
                Journal
                Nurs Open
                Nurs Open
                10.1002/(ISSN)2054-1058
                NOP2
                Nursing Open
                John Wiley and Sons Inc. (Hoboken )
                2054-1058
                01 September 2021
                November 2021
                : 8
                : 6 ( doiID: 10.1002/nop2.v8.6 )
                : 3232-3241
                Affiliations
                [ 1 ] Medicine and Health College Lishui University Lishui City China
                [ 2 ] Sophiahemmet University Stockholm Sweden
                [ 3 ] Karlstad University Karlstad Sweden
                [ 4 ] Inland Norway University of Applied Sciences Hamar Norway
                [ 5 ] School of Nursing Sun Yat‐sen University in Guangzhou Guangzhou City China
                [ 6 ] Department of Caring Science Faculty of Health and Occupational Studies University of Gävle Gävle Sweden
                Author notes
                [*] [* ] Correspondence

                Lijuan Xu, Medicine and Health College, Lishui University, No. 1 Xueyuan Road, Lishui city, China.

                Email: ljxu198311@ 123456163.com

                Author information
                https://orcid.org/0000-0003-2825-5657
                Article
                NOP21036
                10.1002/nop2.1036
                8510734
                34469073
                f829329a-8819-41b3-8ec2-5d482799049c
                © 2021 The Authors. Nursing Open published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 19 May 2021
                : 27 February 2021
                : 19 July 2021
                Page count
                Figures: 1, Tables: 3, Pages: 10, Words: 6761
                Funding
                Funded by: Department of Education Research Fund in Zhejiang Province
                Award ID: jg20180360
                Award ID: jg20190418
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                November 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.8 mode:remove_FC converted:12.10.2021

                nurse professional competence,nursing students,psychometric testing,reliability,short form,validity

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