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

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

An ecological systems model of trait resilience: Cross-cultural and clinical relevance

The study explored how scores on the three dimensions of the Engineering, Ecological, and Adaptive Capacity (EEA) trait resilience scale, derived from Holling’s ecological systems theory of resilience, demonstrate fit within higher-order bifactor models of measurement, cultural invariance, and associations with clinical caseness of affect. Three samples (295 US adults, and 179 Japanese and 251 Polish university students) completed the EEA trait resilience scale. In addition, a subsample of US adults were administered the Ten-Item Personality Inventory and the Hospital Anxiety and Depression Scale ). Across all samples, a higher-order bifactor model provided the best fit of the data, with salience of loadings on the three group factors. A multi-group comparison found configural invariance, but neither metric nor scalar invariance, for EEA resilience scores across the three samples. Among the US sample, engineering and adaptive trait resilience scores predicted clinical caseness of depression, and adaptive trait resilience scores predicted clinical caseness of anxiety, after controlling for sex, age, income, education, employment, and personality. The findings suggest the cross-cultural replicability of the structure (but not the meaning) of the threefactor EEA measure of trait resilience, and its relevance for predicting clinical caseness of affect among a US sample