A Hierarchical (Multicomponent) Model Of In-Group Identification: Examining In Russian Samples

Andrey Lovakov () and Elena Agadullina ()
Additional contact information
Andrey Lovakov: National Research University Higher School of Economics
Elena Agadullina: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: The aim of this study is to examine the validity and reliability of the Leach et al. model of in-group identification in 2 studies of Russian samples. In study 1, the confirmatory factor analysis revealed that the hierarchical model of in-group identification, which included the second-order factors of self-definition (individual self-stereotyping, and in-group homogeneity) and self-investment (satisfaction, solidarity, and centrality) fitted the data well for all four group identities (ethnic, religious, university, and gender) and was a better fit than the alternative models. In study 2, we examined the construct validity and reliability of the Russian version of in-group identification measure. Results show that these measure have adequate psychometric properties. In short, our results show that the Leach et al. model is reproduced in Russian culture. The Russian version of this measure can be used in future in-group research conducted using Russian-language samples.

Keywords: identity; identification; social identity; group. (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 20 pages
Date: 2014
New Economics Papers: this item is included in nep-cis and nep-tra
References: View complete reference list from CitEc
Citations:

Published in WP BRP Series: Science, Psychology / PSY, May 2014, pages 1-20

Downloads: (external link)
http://www.hse.ru/data/2014/05/20/1321921759/18PSY2013.pdf (application/pdf)

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:hig:wpaper:18psy2014

Access Statistics for this paper

More papers in HSE Working papers from National Research University Higher School of Economics
Bibliographic data for series maintained by Shamil Abdulaev () and Shamil Abdulaev ().