Structural validity of the Communal Narcissism Inventory (CNI):The bifactor model

Magdalena Żemojtel-Piotrowska , Anna Z. Czarna , Jarosław Piotrowski , Tomasz Baran , John Maltby

Abstract

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 are discussed in terms of both structural equation modeling and multiple regression analyses.
Author Magdalena Żemojtel-Piotrowska
Magdalena Żemojtel-Piotrowska,,
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, Anna Z. Czarna
Anna Z. Czarna,,
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, Jarosław Piotrowski (Wydział Zamiejscowy w Poznaniu)
Jarosław Piotrowski,,
- Wydział Zamiejscowy w Poznaniu
, Tomasz Baran
Tomasz Baran,,
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, John Maltby
John Maltby,,
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Journal seriesPersonality and Individual Differences, ISSN 0191-8869, (A 30 pkt)
Issue year2016
Vol90
Pages315-320
Publication size in sheets0.5
Keywords in EnglishCommunal narcissism; Measurement; Bifactor model
ASJC Classification3200 General Psychology
DOIDOI:10.1016/j.paid.2015.11.036
URL http://www.sciencedirect.com/science/article/pii/S0191886915300568
Languageen angielski
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Piotrowski J_structural validity_2016_all.png 389.39 KB
Score (nominal)35
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.183; WoS Impact Factor: 2016 = 2.005 (2) - 2016=2.4 (5)
Citation count*11 (2019-06-30)
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