Evaluating the psychometric properties of the Italian version of Benign Envy and Malicious Envy Scale among Italian workers

The present study analyzed the psychometric properties of the Italian adaptation of the Benign Envy and Malicious Envy Scale (BEMES) in the workplace context. The scale’s construct, convergent, and discriminant validity were examined and compared with related constructs such as social comparison, life satisfaction, mental well-being, and psychological distress. A convenience sample of 507 Italian workers (M age = 35.15 years [SD = ±12.31]; 82.38% female) successfully completed an online survey. Confirmatory factor analyses showed the bi-factor structure of the BEMES did not provide a good fit to the data. Consequently, two items with low loadings were removed from their respective hypothesized latent factors. The scale’s reliability was satisfactory, demonstrating good internal consistency (Cronbach’s α = 0.74–0.80; McDonald’s ω = 0.75–0.80). The scale’s validity was supported by associations with related constructs: benign envy had significant positive associations with increased social comparison, higher life satisfaction, and better mental well-being, while having negative associations with anxiety, stress, and depression. Conversely, malicious envy had positive associations with anxiety, stress, depression, and increased social comparison, while having negative associations with higher life satisfaction and better mental well-being. Findings contribute to a better understanding of envy in occupational contexts.

Authors

Institutions

Publication Details

Journal
Cogent Psychology
Published
2025-04-17
DOI
https://doi.org/10.1080/23311908.2025.2489823
Citations
1
Primary Topic
Emotions and Moral Behavior
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the psychometric properties of the Italian version of Benign Envy and Malicious Envy Scale among Italian workers

Rocco Servidio, Mark Damian Griffiths, Renato Pisanti, Paolo Soraci et al.
1 citations
Cogent Psychology
Emotions and Moral Behavior
2.44
article

Evaluating the psychometric properties of the Italian version of Benign Envy and Malicious Envy Scale among Italian workers

Rocco Servidio, Mark Damian Griffiths, Renato Pisanti, Paolo Soraci, Nadia Bevan
article en
1 citations

Abstract

The present study analyzed the psychometric properties of the Italian adaptation of the Benign Envy and Malicious Envy Scale (BEMES) in the workplace context. The scale’s construct, convergent, and discriminant validity were examined and compared with related constructs such as social comparison, life satisfaction, mental well-being, and psychological distress. A convenience sample of 507 Italian workers (M age = 35.15 years [SD = ±12.31]; 82.38% female) successfully completed an online survey. Confirmatory factor analyses showed the bi-factor structure of the BEMES did not provide a good fit to the data. Consequently, two items with low loadings were removed from their respective hypothesized latent factors. The scale’s reliability was satisfactory, demonstrating good internal consistency (Cronbach’s α = 0.74–0.80; McDonald’s ω = 0.75–0.80). The scale’s validity was supported by associations with related constructs: benign envy had significant positive associations with increased social comparison, higher life satisfaction, and better mental well-being, while having negative associations with anxiety, stress, and depression. Conversely, malicious envy had positive associations with anxiety, stress, depression, and increased social comparison, while having negative associations with higher life satisfaction and better mental well-being. Findings contribute to a better understanding of envy in occupational contexts.

Cogent PsychologyVol. 12(1)
University Niccolò Cusano (IT), University of Calabria (IT), Nottingham Trent University (GB), Monash University (AU)
Openalex Percentile: Top 14%
Emotions and Moral Behavior
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.