Developing mentorship in clinical practice : psychometrics properties of the Mentors’ Competence Instrument
Comparcini, Dania; Cicolini, Giancarlo; Simonetti, Valentina; Mikkonen, Kristina; Kääriäinen, Maria; Tomietto, Marco (2020-01-22)
Dania Comparcini, Giancarlo Cicolini, Valentina Simonetti, Kristina Mikkonen, Maria Kääriäinen, Marco Tomietto, Developing mentorship in clinical practice: Psychometrics properties of the Mentors’ Competence Instrument, Nurse Education in Practice, Volume 43, 2020, 102713, ISSN 1471-5953, https://doi.org/10.1016/j.nepr.2020.102713
© 2020 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
https://creativecommons.org/licenses/by-nc-nd/4.0/
https://urn.fi/URN:NBN:fi-fe2020051335434
Tiivistelmä
Abstract
Clinical placements are an important part of nursing education to developing nursing students’ competencies. In enhancing clinical learning, to focus on mentors’ competences is pivotal as they are the main role models and experts in guiding. This study is validated the Italian version of the Mentors’ Competence Instrument. A sampling frame of 648 mentors was involved. The final sample included 291 mentors (response rate 45%). Confirmatory Factor Analysis was performed. Fit indices were also calculated to evaluate validity. The scale demonstrated optimal fit indexes and its validity was confirmed by psychometrical testing. In detail, Root Mean Square Error of Approximation is 0.058, Standardized Root Mean Residual is 0.046, Comparative Fit Index is 0.893 and Tucker-Lewis Index 0.886. Cronbach’s alpha ranges from 0.77 to 0.95 among factors. This is the first validation of the scale performed in a different country from the original study. The performed psychometric testing showed that the scale is valid and reliable, as well as consistent with the theoretical structure reported for a different national context. This scale can be beneficial for comparing mentors’ competencies across different clinical learning environments and could be used to build a broader model of mentors’ competencies.
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