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Psychometric Properties and Measurement Invariance of the Brief Symptom Inventory-18 Among Chinese Insurance Employees

Overview of attention for article published in Frontiers in Psychology, April 2018
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Title
Psychometric Properties and Measurement Invariance of the Brief Symptom Inventory-18 Among Chinese Insurance Employees
Published in
Frontiers in Psychology, April 2018
DOI 10.3389/fpsyg.2018.00519
Pubmed ID
Authors

Mingshu Li, Meng-Cheng Wang, Yiyun Shou, Chuxian Zhong, Fen Ren, Xintong Zhang, Wendeng Yang

Abstract

This study aimed to examine the psychometric properties and factorial invariance of the Brief Symptom Inventory-18 (BSI-18). Confirmatory factor analyses (CFAs) were performed to verify the BSI-18's factor structure in a large sample of Chinese insurance professionals (N = 2363, 62.7% women; age range = 19-70). Multigroup CFA were performed to test the measurement invariance of the model with the best fit across genders. In addition, structural equation modeling was conducted to test the correlations between the BSI-18 and two covariates - social support perception and grit trait. Results indicated that the bi-factor model best fit the data and was also equivalent across genders. The BSI-18's general factor, and somatization and depression dimensions were significantly related to social support perception and grit trait, whereas the anxiety dimension was not. Overall, our findings suggested that the BSI-18's can be a promising tool in assessing general psychological distress in Chinese employees.

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Mendeley readers

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 %
Lecturer 4 11%
Professor 4 11%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 9%
Other 6 17%
Unknown 10 29%
Readers by discipline Count As %
Psychology 8 23%
Social Sciences 3 9%
Nursing and Health Professions 2 6%
Mathematics 1 3%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 16 46%
Attention Score in Context

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 18 April 2018.
All research outputs
#18,594,219
of 23,031,582 outputs
Outputs from Frontiers in Psychology
#22,503
of 30,299 outputs
Outputs of similar age
#253,937
of 327,263 outputs
Outputs of similar age from Frontiers in Psychology
#516
of 593 outputs
Altmetric has tracked 23,031,582 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 30,299 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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