Validation of a Chinese version of the Tolerance for Mental Pain Scale-10 with Chinese college students
Bibliographic Data
| ID | 13917984 |
|---|---|
| Authors | Cui Ning (0000-0001-6581-5444, corresponding author), Ning Cui (0000-0003-2505-098X), Yingshan Bao, Xiaoming Liu (0000-0001-7904-1056), Kangyi Liu, Weiyu Chen (0009-0005-5707-6799) |
| Year | 2021 |
| Volume | 49 |
| Issue | 12 |
| Pages | 1-8 |
| Publication date | 2021-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Behavior and Personality An International Journal (JOURNAL) |
| Journal identifiers | ISSN: 0301-2212 • E-ISSN: 1179-6391 |
| Publisher | Scientific Journal Publishers Limited (PUBLISHER) |
| DOI | 10.2224/sbp.10891 |
| OpenAlex | W3217245765 |
| Language | EN |
| Citations received | 1 |
| References cited | 9 |
We built and validated a Chinese version of the Tolerance for Mental Pain Scale-10 (TMPS-10). Participants were 840 college students in Jilin, China. The TMPS-10 consists of two dimensions: managing the pain and enduring the pain. In our study Cronbach's alphas were .80 and .83, respectively, and test–retest reliability coefficients were .78 and .72, respectively, for these two dimensions. Exploratory factor analysis results demonstrate that the two dimensions accounted for 61.58% of the total variance. Confirmatory factor analysis results show that the two-factor model fit the sample data well. As the Chinese version of the TMPS-10 meets the requirements for a psychometric tool, it can be used to evaluate Chinese college students' tolerance of psychological pain
Confirmatory factor analysis · Cronbach's alpha · Exploratory factor analysis · Psychometrics · Reliability (semiconductor · Sample (material · Scale (ratio · Statistics · Structural equation modeling · Test (biology · Variance (accounting · Clinical Psychology · Mental Health Treatment and Access · Musculoskeletal pain and rehabilitation · Psychology · Suicide and Self-Harm Studies
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |