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| Content Provider | Springer Nature Link |
|---|---|
| Author | DESOUSA, CAROL MURRELLS, TREVOR |
| Copyright Year | 2005 |
| Abstract | This paper discusses the benefits of using SPlus software to carry out longitudinal analyses such as event history methods. An illustration is provided using three-year career histories of a nationally drawn cohort of recently qualified registered nurses, who completed a diploma programme in the UK between August 1997 and September 1998. For the purposes of this paper, the time to first promotion is examined using a Cox proportional hazards model with a frailty term included, to allow for unobserved heterogeneity. The results indicated that men have a slightly higher rate of promotion compared with women, and particularly when compared with women who took a maternity break during their early career. Age is also a significant factor, with younger cohort members being promoted at a higher rate than their older colleagues. The inclusion of a frailty term to account for clustering at the university level also significantly improved the model. It is shown that SPlus, which is a powerful, user-friendly statistical package, can be easily utilized by researchers to carry out event history analysis as well produce high quality cumulative hazard and diagnostic plots using its sophisticated graphics facilities. |
| Starting Page | 453 |
| Ending Page | 465 |
| Page Count | 13 |
| File Format | |
| ISSN | 00335177 |
| Journal | Quality and Quantity |
| Volume Number | 39 |
| Issue Number | 4 |
| e-ISSN | 15737845 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2005-01-01 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | SPlus event history analysis survival analysis nursing career promotion Methodology of the Social Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Social Sciences |
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