Younes Rami
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Younes Rami has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Amelia Rizzo
University of Messina
1 shared publication Bouabid Badaoui
Biodiversity, Ecology and Genome Laboratory, Faculty of Sciences, Mohammed V University in Rabat
1 shared publication- Driss Ait Ali
Laboratory of Morocco: History, Theology and Languages, Department of Psychology, Faculty of Arts and Human Sciences Fès-Saïss, Sidi Mohamed Ben Abdellah University, Fez, Morocco
1 shared publication - Francesca Bruno
University of Messina
1 shared publication - Francesco Chirico
Health Service Department, Italian State Police, Ministry of the Interior, Multifunctional Health Center, Via Augusto Anfossi 2, 20135 Milan, Italy
1 shared publication - Hicham Khabbache
Applied Psychology, Linguistics and Philosophy Laboratory, Faculty of Humanities-Saïs, Mohammed Ben Abdellah University, Fez, Morocco
1 shared publication
Latest Publications
- Open Access
- 13 May 2025
- Published by MDPI AG in Preprints.org
The Prejudice Towards People with Mental Illness Scale: Psychometric Properties of the Italian Version (PPMI-IT)
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.
- 13 May 2025
- Published by MDPI AG in Preprints.org
Open AccessThe Prejudice Towards People with Mental Illness Scale: Psychometric Properties of the Italian Version (PPMI-IT)
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.
- Open Access
- 19 December 2024
- Published by EnPress Publisher in Journal of Infrastructure, Policy and Development
- Vol. 8 (16) , 9300
Psychometric properties and validation of the depression, anxiety and stress scale (DASS-18) in a sample of Moroccan university students
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.
- 19 December 2024
- Published by EnPress Publisher in Journal of Infrastructure, Policy and Development
- Vol. 8 (16) , 9300
Open AccessPsychometric properties and validation of the depression, anxiety and stress scale (DASS-18) in a sample of Moroccan university students
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.