Hyland, Philip and Boduszek, Daniel and Dhingra, Katie and Shevlin, Mark and Egan, Arlene (2014) A bifactor approach to modelling the Rosenberg Self Esteem Scale. Personality and Individual Differences, 66. pp. 188-192. ISSN 0191-8869
|
Download (322kB)
| Preview
|
Abstract
Inconsistency exists in the empirical literature with respect to the underlying factor structure of the Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1989). In research contexts the RSES is considered a unidimensional measure of self-esteem. Empirical findings have undermined this conceptualisation with factor analytic findings favouring a variety of one-factor solutions (with correlated measurement errors) or multidimensional representations. The current study applied a bifactor modelling approach to provide a theoretical and methodologically satisfying resolution to the current inconsistency. Three alternative factor models of the RSES were tested among a large sample of the adult population (N = 6082). Results indicated that a bifactor model was the best fit of the data. This model was demonstrated to be factorially invariant among males and females. The reliability of the scale was established using composite reliability. Results are discussed in terms of resolving the debate about the appropriate factor structure of the RSES.
Item Type: | Article |
---|---|
Keywords: | Rosenberg Self-Esteem Scale; RSES; Bifactor modelling; Confirmatory factor analysis; Factorial invariance; Self-esteem; |
Academic Unit: | Assisting Living & Learning,ALL institute Faculty of Science and Engineering > Psychology |
Item ID: | 19227 |
Identification Number: | https://doi.org/10.1016/j.paid.2014.03.034 |
Depositing User: | Philip Hyland |
Date Deposited: | 26 Nov 2024 17:01 |
Journal or Publication Title: | Personality and Individual Differences |
Publisher: | Elsevier |
Refereed: | Yes |
URI: | |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only(login required)
Item control page |
Downloads
Downloads per month over past year