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多代护理人员问卷(MNGQ)的心理测量学验证
Author(s) -
Stevanin Simone,
Mikkonen Santtu,
Bressan Valentina,
VehviläinenJulkunen Katri,
Kvist Tarja
Publication year - 2019
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1111/jan.14118
Subject(s) - cronbach's alpha , confirmatory factor analysis , construct validity , structural equation modeling , nursing , psychology , psychometrics , reliability (semiconductor) , test (biology) , psychometric testing , sample (material) , applied psychology , medicine , clinical psychology , computer science , paleontology , power (physics) , physics , quantum mechanics , machine learning , biology , chemistry , chromatography
Abstract Aims To perform a psychometric test of the factor structure of the Multidimensional Nursing Generation Questionnaire, an instrument developed to measure nursing generational characteristics in the workplace and investigate the relations among its factors and background variables. Background Nurses today include members of the Baby Boomer and X and Y generations, whose characteristics in the work environment have not been studied thoroughly. Design Instrument and construct cross‐sectional study for psychometric testing/validation. Methods Questionnaire components and constructs were tested using confirmatory factor analysis (CFA), structural equation modelling and Cronbach's alpha. For this purpose, a survey was conducted in November 2016 on a sample of Finnish and Italian nurses working in public hospitals ( N  = 3,218). Results Eight hundred twenty‐two nurses completed the questionnaire, where CFA identified 48 items and six factors with acceptable internal consistency (Cronbach's alpha range: 0.73–0.88): (a) Conflicts between generations; (b) Patient safety view; (c) Relationships issues between generations; (d) Working as a multigenerational team; (e) Orientation to change; and (f) Work propensity and availability. Various relations were identified among the background variables and factors that related largely to generational belonging, educational level and country. Conclusion The final version of the questionnaire demonstrates a more robust factor structure than did the preliminary. Further tests should be conducted on nurses in different countries/cultures and work environments. Impact The complete validation of the Multidimensional Nursing Generation Questionnaire will provide research evidence useful to create an inclusive work environment for each generation.

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