Predicting organizational actual turnover rates in the U.S. federal government (Record no. 37748)
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| 001 - CONTROL NUMBER | |
| control field | 0121416064137 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190211174125.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 101214s2010 xx ||||gr |0|| 0 eng d |
| 999 ## - SYSTEM CONTROL NUMBERS (KOHA) | |
| Koha Dewey Subclass [OBSOLETE] | PHL2MARC21 1.1 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | CHAN SU, Jung |
| 9 (RLIN) | 43355 |
| 245 10 - TITLE STATEMENT | |
| Title | Predicting organizational actual turnover rates in the U.S. federal government |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Philadelphia : |
| Name of publisher, distributor, etc. | Routledge, |
| Date of publication, distribution, etc. | September 2010 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | This study expands the level of analysis on turnover in public administration, especially in the U.S. federal government, from the individual level to the organizational level by using organizational actual turnover rates. Some scholars argue that public employees' turnover intention generally reflects actual turnover. However, very little empirical evidence supporting this argument has been provided in public administration, especially in a broad array of public agencies. This study has rejected this argument by showing insignificant or weakly significant correlations between organizational actual turnover and weighted turnover intention rates. In addition, overall, the two regression results for organizational actual turnover and turnover intention also show different results from those in the existing literature on individual-level turnover intention. The significant predictors of organizational actual turnover rates are goal ambiguity, pay satisfaction, and diversity policy satisfaction. The correlation and regression results imply that research on predictors of turnover may need to consider the differences that may result from using different units of analysis and to make a distinction between turnover intention and actual turnover |
| 773 08 - HOST ITEM ENTRY | |
| Title | International Public Management Journal |
| Related parts | 13, 3, p. 297-317 |
| Place, publisher, and date of publication | Philadelphia : Routledge, September 2010 |
| International Standard Serial Number | ISSN 10967494 |
| Record control number | |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Periódico |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| -- | 20101214 |
| Operator's initials, OID (RLIN) | 1606^b |
| Cataloger's initials, CIN (RLIN) | Daiane |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| -- | 20110119 |
| Operator's initials, OID (RLIN) | 1511^b |
| Cataloger's initials, CIN (RLIN) | Carolina |
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