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Testing Configural, Metric, Scalar, and Latent Mean Invariance Across Genders in Sociotropy and Autonomy Using a Non-Western Sample
Abstract
The Personal Style Inventory (PSI) was developed to assess individuals’ levels of sociotropy and autonomy, two personality characteristics considered to be associated with increased vulnerability to depression. This study used the approach of latent means analysis (LMA) within the framework of structural equation modeling (SEM) to explore the factor structure and gender differences associated with the PSI in a sample of Korean undergraduates ( N = 508). Results of the confirmatory factor analysis are consistent with previous work and support the cross-cultural stability of the PSI factor structure. However, in contrast to previous research, results of the LMA showed women to have higher scores than men on sociotropy and autonomy dimensions, raising the possibility of cross-cultural differences in the interaction between these personality styles and vulnerability to depression.
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Cited by
Putnick, D. L., & Bornstein, M. H. (2016) · Developmental Review · doi:10.1016/j.dr.2016.06.004 · Cited by 4,369
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“When the results of the post hoc Bonferroni analysis to determine from which dependent variable the difference originated, it was seen that the imagery and mental toughness levels of the athletes with high-performance ranges were higher than the athletes with medium-and low-performance ranges.”
Result
Metadata
- Authors
- Hong, S., Malik, M. L., & Lee, M.-K.
- Venue
- Educational and Psychological Measurement
- Publisher
- SAGE Publications
- Published
- 2003-08
- Volume
- 63
- Issue
- 4
- Pages
- 636-654
- ISSN
- 0013-1644 (ISSN-L)
- 1552-3888
- OpenAlex
- W2060706931
- Cited by
- 514
- References
- 9
- FWCI
- 3.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hong, S., Malik, M. L., & Lee, M.-K. (2003). Testing Configural, Metric, Scalar, and Latent Mean Invariance Across Genders in Sociotropy and Autonomy Using a Non-Western Sample. Educational and Psychological Measurement. https://doi.org/10.1177/0013164403251332
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
