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Structural Validity of the Communal Narcissism Inventory (CNI): The Bifactor Model

journal contribution
posted on 2016-01-11, 12:46 authored by M. Żemojtel-Piotrowska, A. Z. Czarna, J. Piotrowski, T. Baran, John Julian Maltby
The current report presents the factor structure analysis for the Communal Narcissism Inventory (CNI). The bi-factor model assuming one general factor and two residual factors (present-focused and future-focused communal narcissism) was examined across two student samples originating from Poland (N = 831) and the UK (N = 304) and compared to one-factor and two-factor solutions. Results supported the bifactor solution for the CNI, with one strong general factor and two weaker residual factors, as well as an indicated difference in the strength of correlations with external variables (self-esteem, agentic narcissism and psychological entitlement) for present and future communal narcissism. The obtained bifactor solution showed partial scalar invariance across two national samples, suggesting full replication of findings in two different cultural contexts. The implications of the bifactor model of communal narcissism for research practice is discussed in terms of both structural equation modelling and multiple regression analyses.

History

Citation

Personality and Individual Differences, 2016, 90, pp. 315-320

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/MBSP Non-Medical Departments/Neuroscience, Psychology and Behaviour

Version

  • AM (Accepted Manuscript)

Published in

Personality and Individual Differences

Publisher

Elsevier for International Society for the Study of Individual Differences (ISSID)

issn

0191-8869

Acceptance date

2015-11-18

Copyright date

2015

Available date

2017-11-25

Publisher version

http://www.sciencedirect.com/science/article/pii/S0191886915300568

Notes

The file associated with this record is under a 24-month embargo from publication in accordance with the publisher's self-archiving policy, available at http://www.elsevier.com/about/company-information/policies/sharing. The full text may be available through the publisher links provided above.

Language

en

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