Younes Rami

Dr. Younes Rami


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 December 2024 in Journal of Infrastructure, Policy and Development
Verified
Journal Article
Open access
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YRYounes Rami
Younes Rami
ZAZakaria Abidli
Zakaria Abidli
JTJoumana EL Turk
Joumana EL Turk
BBBouabid Badaoui
Bouabid Badaoui
Objective: This study aimed to examine the psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) in a sample of Moroccan students. Method: A total of 208 Moroccan students participated in this study. The dimensionality of the DASS-21 scale was assessed using exploratory factor analysis. Construct validity was assessed using the Stress Perception (PSS-10), State Anxiety (SAI), and Depression (CESD-10) scales. Results: Correlation analyses between Depression, Anxiety, and Stress subscales showed significant results. The exploratory factor analysis results confirmed the DASS’s three-dimensional structure. Furthermore, correlation analyses revealed positive correlations between the DASS-18 sub-dimensions and the three scales for Stress (PSS-10), Anxiety (SAI), and Depression (CESD-10). Conclusion: In line with previous work, the results of this study suggest that the DASS-18 reflect adequate psychometric properties, making it an appropriate tool for use in the university context.

13 May 2025 in Preprints.org
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Preprint
Open access
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Francesca BrunoFrancesca Bruno
Francesca Bruno
Francesco ChiricoFrancesco Chirico
Francesco Chirico
HKHicham Khabbache
Hicham Khabbache
YRYounes Rami
Younes Rami
DADriss Ait Ali
Driss Ait Ali
Amelia RizzoAmelia Rizzo
Amelia Rizzo
The present study investigated the validity of the Italian version of the Prejudice towards People with Mental Illness scale (PPMI-IT) in measuring biases toward individuals with mental health issues. The original instrument was translated and back translated from english into italian. A sample of 455 italian-speaking participants (65% female; Mage= 33.39; SD=13.21) was utilized to conduct exploratory and confirmatory factor analyses, confirming a four-factor structure (Fear - Avoidance, Malevolence, Authoritarianism, Unpredictability). Factor loadings indicated that each dimension was well represented, supporting the construct validity of the scale. Model fit indices, including Chi-Square (χ² = 782.54, df = 296.00, χ²/df = 2.64), RMSEA (0.06, 90% CI: 0.060–0.07), CFI (0.93), TLI (0.91), and SRMR (0.06), suggest an excellent model fit. Furthermore, the analysis of correlations and the Heterotrait-Monotrait (HTMT) ratio provides evidence supporting the discriminant validity of the PPMI scale from Social Desirability. These findings confirm that the PPMI scale is a valid and reliable tool for assessing biases toward individuals with mental health issues, making it suitable for academic research, clinical interventions, and public policy contexts.