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A psychometric analysis of an employ...
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Shay, Patrick Neal.
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A psychometric analysis of an employee satisfaction index.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A psychometric analysis of an employee satisfaction index./
作者:
Shay, Patrick Neal.
面頁冊數:
150 p.
附註:
Adviser: Alexander J. Kondonassis.
Contained By:
Dissertation Abstracts International66-12B.
標題:
Psychology, Industrial. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3202736
ISBN:
9780542478000
A psychometric analysis of an employee satisfaction index.
Shay, Patrick Neal.
A psychometric analysis of an employee satisfaction index.
- 150 p.
Adviser: Alexander J. Kondonassis.
Thesis (Ph.D.)--The University of Oklahoma, 2005.
This study examines responses to an employee satisfaction survey to ascertain the ability of the instrument to provide leadership with pertinent information relative to the employee attitudes at the workplace. The study concentrates on different job-types rating their own job satisfaction within the context of an organizational culture driven by centralized management and leaders. Descriptions of the measured employee satisfaction levels include the following employee job-types: (a) management, (b) engineers, (c) salaried, (d) union, and (e) non-salaried.
ISBN: 9780542478000Subjects--Topical Terms:
520063
Psychology, Industrial.
A psychometric analysis of an employee satisfaction index.
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This study examines responses to an employee satisfaction survey to ascertain the ability of the instrument to provide leadership with pertinent information relative to the employee attitudes at the workplace. The study concentrates on different job-types rating their own job satisfaction within the context of an organizational culture driven by centralized management and leaders. Descriptions of the measured employee satisfaction levels include the following employee job-types: (a) management, (b) engineers, (c) salaried, (d) union, and (e) non-salaried.
520
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The investigation performs principle component analysis (PCA) and structural equation modeling (SEM) on two sets of data to establish significant contributing components and relationships relative to the employee's job satisfaction. The investigation continues by examining analysis of variances (ANOVA) results concerning the various employee job-types in the organizational hierarchy for any significant differences between the groups.
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The study simultaneously contrasted responses to the questionnaires taken during the two periods of 2001 and identified chronological differences in employee attitudes regarding job satisfaction as well as differences in employee attitudes among job-types. The implications to leadership are that employee attitudes are dynamic in nature and catalysts of employee satisfaction vary among job-types.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3202736
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