| Title |
Attributions, future time perspective and career maturity in nursing undergraduates: correlational study design
|
|---|---|
| Published in |
BMC Medical Education, January 2016
|
| DOI | 10.1186/s12909-016-0552-1 |
| Pubmed ID | |
| Authors |
Cheng Cheng, Liu Yang, Yuxia Chen, Huijing Zou, Yonggang Su, Xiuzhen Fan |
| Abstract |
Career maturity is an important parameter as nursing undergraduates prepare for their future careers. However, little is known regarding the relationships between attributions, future time perspective and career maturity among nursing undergraduates. The purpose of this study was to investigate the degree of career maturity and its relationship with attributions and future time perspective. A cross-sectional survey was designed. This survey was administered to 431 Chinese nursing undergraduates. Independent-sample t-tests and one-way ANOVA were performed to examine the mean differences between categories of binary and categorical demographic characteristics, respectively. Pearson correlations and multiple linear regressions were used to test the relationships between attributions, future time perspective and career maturity. The degree of career maturity was moderate among nursing undergraduates and that internal attributions of academic achievement, future efficacy and future purpose consciousness were positively associated with career maturity (all p < 0.01). These three factors accounted for 37.6 % of the variance in career maturity (adjusted R(2) = 0.376). These findings might assist nursing educators and career counselors to improve nursing undergraduate career maturity by elucidating the imperative roles of internal attributions and future time perspective and to facilitate their transition from school to clinical practice. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 13% |
| Student > Bachelor | 7 | 9% |
| Professor > Associate Professor | 6 | 8% |
| Student > Ph. D. Student | 5 | 6% |
| Researcher | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 37 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 13% |
| Nursing and Health Professions | 8 | 10% |
| Social Sciences | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Business, Management and Accounting | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 40 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2016.
All research outputs
#20,305,223
of 22,844,985 outputs
Outputs from BMC Medical Education
#3,145
of 3,323 outputs
Outputs of similar age
#333,356
of 396,496 outputs
Outputs of similar age from BMC Medical Education
#78
of 86 outputs
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