Psychometric Properties and Validation of the Korean Version of Stress Mindset Measure

Hyunmo Seong, Sangeun Lee, Taerim Lee, Gi-Eun Jang and Sang Min Lee

SAGE Open, 2023, vol. 13, issue 2, 21582440231181434

Abstract: The factor structure of the Stress Mindset Measure (SMM), an 8-item questionnaire, has been explored in several countries, showing inconsistent results. This study aimed to examine the psychometric properties of the SMM with a Korean sample. A total of 912 participants completed the online survey (women = 59.3%) at T1, and a random subsample selected from T1 sample ( n  = 259, women = 62.9%) participated in the survey again at T2. At both time points, the results of confirmatory factor analyses supported a three-factor hierarchical model with three lower-order factors (i.e., learning and growth, performance and productivity, and health and vitality) and one higher-order general factor with correlated errors among three negatively worded items. In the model, 2 items measuring the “general†domain were deleted based on high correlations with the higher-order factor. Longitudinal factor analysis revealed that the revised factor structure and loadings were invariant over 6-month period. Theoretical validity was supported through significant correlations between the total score of the 6-item SMM and other stress-related measures. Overall, our results indicate that the Korean version of the SMM is a valid instrument and suggest using a total score of 6 items.

Keywords: stress mindset; Stress Mindset Measure; psychometric properties; confirmatory factor analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440231181434 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231181434

DOI: 10.1177/21582440231181434

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().