| Title |
Factor structure and measurement invariance of the Subjective Vitality Scale: evidence from Chinese adolescents in Hong Kong
|
|---|---|
| Published in |
Quality of Life Research, September 2018
|
| DOI | 10.1007/s11136-018-1990-5 |
| Pubmed ID | |
| Authors |
Jing-Dong Liu, Pak-Kwong Chung |
| Abstract |
This study translates the Subjective Vitality Scale (SVS) into Chinese and examines its factor structure and measurement invariance in a sample of Chinese adolescents in Hong Kong. Chinese adolescents in Hong Kong were invited to participate in the study. Four models of the SVS (a 7-item model, two 6-item models and a 5-item model) were compared using confirmatory factor analysis (CFA). The internal consistency reliability was evaluated using Cronbach's alpha coefficients, and the criterion validity was assessed using bivariate correlations between subjective vitality and positive and negative affect. Finally, measurement invariance across genders and time points was examined to evaluate the invariance of the SVS model. The results of the CFA analysis indicated that the 5-item measurement model fit the data better than the other three models. The Cronbach's alpha was above 0.70 (0.92), revealing excellent internal consistency reliability, and the SVS was significantly associated with positive affect and negatively associated with negative affect, indicating criterion validity. Finally, the measurement invariance analysis of the 5-item model displayed strict invariance across genders and time points. The results support the 5-item measurement model of the Chinese version of the SVS. This model has excellent internal consistency reliability, supports the criterion validity of the instrument and demonstrates strict invariance across genders and time points. In summary, the findings suggest that the 5-item Chinese version of the SVS is a reliable and valid instrument for assessing the subjective vitality of Chinese adolescents in Hong Kong. |
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 25% |
| Student > Master | 3 | 19% |
| Student > Ph. D. Student | 3 | 19% |
| Other | 2 | 13% |
| Student > Bachelor | 2 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 31% |
| Sports and Recreations | 3 | 19% |
| Social Sciences | 2 | 13% |
| Nursing and Health Professions | 1 | 6% |
| Earth and Planetary Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |
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 05 September 2018.
All research outputs
#18,648,325
of 23,102,082 outputs
Outputs from Quality of Life Research
#2,075
of 2,923 outputs
Outputs of similar age
#257,897
of 335,873 outputs
Outputs of similar age from Quality of Life Research
#51
of 83 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,923 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.