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An Exploratory Structural Equation Modeling Approach for the Narcissistic Personality Inventory: Support for the
Rossella Bottaro1, Giuseppe Craparo1, Palmira Faraci1
1Department of Human and Social Sciences - University of Enna "Kore".
The Narcissistic Personality Inventory (NPI) shows a complex structure. Exploratory Structural Equation Modeling (ESEM) supports a multidimensional brief version for assessing narcissistic traits.
Area of Science:
- Psychology
- Psychometrics
Background:
- The Narcissistic Personality Inventory (NPI) is widely used to measure narcissistic traits.
- Existing research has proposed various factorial structures for the NPI.
- A robust factorial solution is crucial for accurate assessment.
Purpose of the Study:
- To investigate the factorial structure of the NPI using Exploratory Structural Equation Modeling (ESEM).
- To compare ESEM with confirmatory factor analyses for NPI versions.
- To examine the NPI's relationships with other psychological variables.
Main Methods:
- Administered the NPI, anxiety, depression, stress, self-esteem, and loneliness measures to 583 participants online.
- Employed Exploratory Structural Equation Modeling (ESEM) and confirmatory factor analyses.
- Compared ESEM and confirmatory factor analyses for both long and brief NPI versions.
Main Results:
- The NPI-13 ESEM bifactorial model demonstrated optimal fit.
- The NPI-13 ESEM model showed strong relationships with other measured variables.
- ESEM provided a superior explanation of the NPI's complex factorial structure.
Conclusions:
- Results support the use of a multidimensional brief version of the NPI.
- ESEM is advantageous for analyzing complex psychological constructs like narcissism.
- The study enhances understanding of the NPI's structure and validity.
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