A Proportional Hazards Regression Analysis of Employee Turnover Among Nurses in New Zealand

Datos Bibliográficos

ID9889673
AutoresSik Hung Ng (0000-0002-1225-7466), Weiting Ng (0000-0001-6396-8981, autor de correspondencia), F Cram (0000-0002-6047-8853), Lesley Jenkins (University of Otago)
Año1991
Volumen44
Número12
Páginas1313-1330
Fecha de publicación1991-12-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaHuman Relations (JOURNAL)
Identificadores de la revistaISSN: 0018-7267 • E-ISSN: 1741-282X
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/001872679104401205
OpenAlexW2164115896
IdiomaEN
Citas recibidas1
Referencias citadas29

Research on employee turnover has usually relied on employment status (quitters vs. stayers) to index the criterion variable (turnover), and on multiple regression (MR) to model the turnover process. In the present study, which was based on a national sample of nurses in New Zealand (n = 1249), we improved the criterion variable by combining employment status with a continuous measure, namely, job survival duration (length of employment starting from the time of survey). We then applied Cox's (1972) proportional hazards regression (PHR) analysis to the improved criterion, and compared the results with those obtained by applying MR on employment status. The comparisons favored PHR: (1) MR selected an extra predictor of quitting that turned out to be nonsignificant, and (2) the numbers of quitters estimated by PHR tended to be more accurate than those by MR

Demographic economics · Econometrics · Economics · Index (typography · Linear regression · Management · Proportional hazards model · Regression · Regression analysis · Sample (material · Sociology · Statistics · Turnover · Variables · Computer Science · Demography · Employment and Welfare Studies · Mathematics · Occupational Health and Safety Research · Psychology · Workplace Health and Well-being