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Correlates of nursing faculty scholarly productivity in colleges and universities in Taiwan, Republic of China

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Hsu, Man-Ying Fang
Date
1991
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dissertation
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The purpose of this exploratory-descriptive study was to determine and to describe predictors of nursing faculty scholarly productivity (NFSP) in higher education in Taiwan of Republic of China. A systems model was developed based on the Andreoli & Musser's (1984) systems model of nursing faculty productivity to determine selected variables of the study. Cultural impacts on NFSP are considered. The Nursing Faculty Scholarly Productivity (NFSP) Inventory was developed to measure the phenomena of nursing faculty scholarly productivity in Taiwan. A weighting scheme used as a standard index was established by nursing committee members to increase the reliability of the measurement of NFSP. Test-retest reliability and content validity were tested and are acceptable at a predetermined level. A nationwide sample of 242 respondents (all female) had a response rate of 52.4%. All subjects worked full-time in one of sixteen colleges and universities across the northern, middle and southern regions in Taiwan, republic of China. The survey was done by mail. The deans/directors of the subjects were invited to provide organizational data. Two hundred twenty-eight usable questionnaires were included in the data analysis. Data analysis procedures included descriptive statistics, oneway ANOVA, and multiple regression analysis. Findings suggested that the systems model was a useful framework to determine variables of the NFSP. Significant predictors of NFSP in three subsystems were identified. Both teaching and research role are preferred with teaching as their primary concern, length of nursing teaching career, associate professor, teaching assistant, and aged 46-50 in human subsystem are significant predictors of NFSP. Resource support match, printed policy and being employed at a private senior college in organizational subsystem are significant predictors of NFSP. Number of persons cared for in family subsystem is a significant predictor of NFSP. Of three subsystems, the human subsystem predictors were found to have the most explanatory power of variance in NFSP in this study. Methodological issues in this study are discussed, recommendations are made for future research, and implications for improving nursing faculty scholarly productivity are also addressed.

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University of Maryland, Baltimore. Nursing. Ph.D. 1991
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