An Instrument to Measure Job Satisfaction of Nursing Home Administrators
An instrument to measure job satisfaction of nursing home administrators
Nicholas G Castle [pic]
A649 Crabtree Hall, Graduate School of Public Health, 130 DeSoto Street, Pittsburgh, PA 15261, USA
BMC Medical Research Methodology 2006, 6:47doi:10.1186/1471-2288-6-47
The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2288/6/47
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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background
The psychometric properties of the nursing home administrator job satisfaction questionnaire (NHA-JSQ) are presented, and the steps used to develop this instrument.
Methods
The NHA-JSQ subscales were developed from pilot survey activities with 93 administrators, content analysis, and a research panel. The resulting survey was sent to 1,000 nursing home administrators. Factor analyses were used to determine the psychometric properties of the instrument.
Results
Of the 1,000 surveys mailed, 721 usable surveys were returned (72 percent response rate). The factor analyses show that the items were representative of six underlying factors (i.e., coworkers, work demands, work content, work load, work skills, and rewards).
Conclusion
The NHA-JSQ represents a short, psychometrically sound job satisfaction instrument for use in nursing homes.
Background
Job satisfaction is defined as "the favorableness or unfavorableness with which employees view their work" [1]. Some recent research would suggest that job satisfaction of employees within an organization is related to an organization 's ability to change [2]. Since a consistent theme in the literature for the past 20 years (or more) has been the inability of some nursing homes to change in a meaningful way,
Nicholas G Castle [pic]
A649 Crabtree Hall, Graduate School of Public Health, 130 DeSoto Street, Pittsburgh, PA 15261, USA
BMC Medical Research Methodology 2006, 6:47doi:10.1186/1471-2288-6-47
The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2288/6/47
| | |
| | |
| | |
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background
The psychometric properties of the nursing home administrator job satisfaction questionnaire (NHA-JSQ) are presented, and the steps used to develop this instrument.
Methods
The NHA-JSQ subscales were developed from pilot survey activities with 93 administrators, content analysis, and a research panel. The resulting survey was sent to 1,000 nursing home administrators. Factor analyses were used to determine the psychometric properties of the instrument.
Results
Of the 1,000 surveys mailed, 721 usable surveys were returned (72 percent response rate). The factor analyses show that the items were representative of six underlying factors (i.e., coworkers, work demands, work content, work load, work skills, and rewards).
Conclusion
The NHA-JSQ represents a short, psychometrically sound job satisfaction instrument for use in nursing homes.
Background
Job satisfaction is defined as "the favorableness or unfavorableness with which employees view their work" [1]. Some recent research would suggest that job satisfaction of employees within an organization is related to an organization 's ability to change [2]. Since a consistent theme in the literature for the past 20 years (or more) has been the inability of some nursing homes to change in a meaningful way,
References: 21. Harrington C, Carrillo H: The regulation and enforcement of federal nursing home standards, 1991–1997. 24. American Nurses Association: American Nurses Association staffing survey, 2001. [http://nursingworld.org/staffing/ana_pdf.pdf] webcite 2002. Accessed March 12, 2002 Return to text