| Title |
Psychometric properties of the Chinese version of resilience scale specific to cancer: an item response theory analysis
|
|---|---|
| Published in |
Quality of Life Research, March 2018
|
| DOI | 10.1007/s11136-018-1835-2 |
| Pubmed ID | |
| Authors |
Zeng Jie Ye, Mu Zi Liang, Hao Wei Zhang, Peng Fei Li, Xue Ren Ouyang, Yuan Liang Yu, Mei Ling Liu, Hong Zhong Qiu |
| Abstract |
Classic theory test has been used to develop and validate the 25-item Resilience Scale Specific to Cancer (RS-SC) in Chinese patients with cancer. This study was designed to provide additional information about the discriminative value of the individual items tested with an item response theory analysis. A two-parameter graded response model was performed to examine whether any of the items of the RS-SC exhibited problems with the ordering and steps of thresholds, as well as the ability of items to discriminate patients with different resilience levels using item characteristic curves. A sample of 214 Chinese patients with cancer diagnosis was analyzed. The established three-dimension structure of the RS-SC was confirmed. Several items showed problematic thresholds or discrimination ability and require further revision. Some problematic items should be refined and a short-form of RS-SC maybe feasible in clinical settings in order to reduce burden on patients. However, the generalizability of these findings warrants further investigations. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 17% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Researcher | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 15 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 23% |
| Nursing and Health Professions | 5 | 14% |
| Medicine and Dentistry | 3 | 9% |
| Economics, Econometrics and Finance | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 15 | 43% |
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 22 March 2018.
All research outputs
#18,591,506
of 23,028,364 outputs
Outputs from Quality of Life Research
#2,073
of 2,916 outputs
Outputs of similar age
#258,245
of 332,500 outputs
Outputs of similar age from Quality of Life Research
#51
of 70 outputs
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