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Development and preliminary validation of a brief nurses’ perceived professional benefit questionnaire (NPPBQ)
by
Hu, Jing
, Li, Fan
, Hu, Yanli
, Zhao, Bin
, Liu, Xiaohong
, Li, Liping
in
Burnout, Psychological - psychology
/ Data analysis
/ Employment
/ Factor Analysis, Statistical
/ Female
/ Health Sciences
/ Humans
/ Instrument development
/ Job Satisfaction
/ Male
/ Medicine
/ Medicine & Public Health
/ Nurses
/ Nurses - statistics & numerical data
/ Nurses’ perceived professional benefit
/ Nursing
/ Perceptions
/ Professional development
/ Psychometrics
/ Psychometrics - methods
/ Quantitative psychology
/ Research Article
/ Statistical Theory and Methods
/ statistics and modelling
/ Statistics for Life Sciences
/ Surveys
/ Surveys and Questionnaires
/ Theory of Medicine/Bioethics
/ Validity
/ Values
2020
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Development and preliminary validation of a brief nurses’ perceived professional benefit questionnaire (NPPBQ)
by
Hu, Jing
, Li, Fan
, Hu, Yanli
, Zhao, Bin
, Liu, Xiaohong
, Li, Liping
in
Burnout, Psychological - psychology
/ Data analysis
/ Employment
/ Factor Analysis, Statistical
/ Female
/ Health Sciences
/ Humans
/ Instrument development
/ Job Satisfaction
/ Male
/ Medicine
/ Medicine & Public Health
/ Nurses
/ Nurses - statistics & numerical data
/ Nurses’ perceived professional benefit
/ Nursing
/ Perceptions
/ Professional development
/ Psychometrics
/ Psychometrics - methods
/ Quantitative psychology
/ Research Article
/ Statistical Theory and Methods
/ statistics and modelling
/ Statistics for Life Sciences
/ Surveys
/ Surveys and Questionnaires
/ Theory of Medicine/Bioethics
/ Validity
/ Values
2020
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Development and preliminary validation of a brief nurses’ perceived professional benefit questionnaire (NPPBQ)
by
Hu, Jing
, Li, Fan
, Hu, Yanli
, Zhao, Bin
, Liu, Xiaohong
, Li, Liping
in
Burnout, Psychological - psychology
/ Data analysis
/ Employment
/ Factor Analysis, Statistical
/ Female
/ Health Sciences
/ Humans
/ Instrument development
/ Job Satisfaction
/ Male
/ Medicine
/ Medicine & Public Health
/ Nurses
/ Nurses - statistics & numerical data
/ Nurses’ perceived professional benefit
/ Nursing
/ Perceptions
/ Professional development
/ Psychometrics
/ Psychometrics - methods
/ Quantitative psychology
/ Research Article
/ Statistical Theory and Methods
/ statistics and modelling
/ Statistics for Life Sciences
/ Surveys
/ Surveys and Questionnaires
/ Theory of Medicine/Bioethics
/ Validity
/ Values
2020
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Development and preliminary validation of a brief nurses’ perceived professional benefit questionnaire (NPPBQ)
Journal Article
Development and preliminary validation of a brief nurses’ perceived professional benefit questionnaire (NPPBQ)
2020
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Overview
Background
With the increased empirical interest in the positive significance of improving nurses’ sense of professional benefits, there is a requirement for measures of nurses’ perceived professional benefit (NPPB). Our objective was to develop and psychometrically test a brief Nurses’ Perceived Professional Benefit Questionnaire (NPPBQ).
Methods
After expert consultation and nurse interviews, a primary questionnaire was developed for an exploratory factor analysis (EFA). The seventeen items of the NPPBQ were used for verification of the theorized factor structure and content validity using a confirmatory factor analysis (CFA). The NPPBQ’s concurrent validity was evaluated. Three samples of nurses were collected in Shanghai, Hangzhou and Nanjing between November 2017 and August 2018.
Results
The results of the EFA and CFA verified the five dimensions of nurses’ occupational benefit discovery. The results demonstrated that the NPPBQ has adequate internal consistency and is fully consistent with the theorized factor structure. This 5-factor solution explained an adequate percentage of the total variance. The Cronbach’s alpha of each dimension of the NPPBQ was good. The concurrent validity was significantly correlated with all aspects of the Maslach Burnout Inventory (MBI).
Conclusion
The results suggest that the NPPBQ is a psychometrically sound measure for evaluating perceived professional benefits among a wide range of nurses.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
Burnout, Psychological - psychology
/ Factor Analysis, Statistical
/ Female
/ Humans
/ Male
/ Medicine
/ Nurses
/ Nurses - statistics & numerical data
/ Nurses’ perceived professional benefit
/ Nursing
/ Statistical Theory and Methods
/ Statistics for Life Sciences
/ Surveys
/ Theory of Medicine/Bioethics
/ Validity
/ Values
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