Measuring Institutional Wellbeing Using Positive Statistics Methodology: Applying the PERMA Model – A Case Study of the Commission for Statistics and GIS in Iraq
DOI:
https://doi.org/10.59992/IJSR.2026.v5n3p8Keywords:
Positive Statistics, Institutional Wellbeing, Positive Psychology, PERMA Model, Work Environment, Statistical AnalysisAbstract
This study aims to measure the level of institutional wellbeing among employees of the Commission for Statistics and GIS in Iraq using the Positive Statistics methodology through the application of the PERMA model derived from positive psychology. The study adopts a descriptive analytical approach to examine the relationship between the dimensions of wellbeing and employees’ perceptions of their work environment. Data were collected using a questionnaire consisting of 26 items distributed across five dimensions: positive emotion, engagement, relationships, meaning, and accomplishment. The study sample consisted of 114 employees working in different departments of the organization. The reliability of the measurement instrument was tested using Cronbach’s Alpha, which reached 0.951, indicating a high level of internal consistency among the questionnaire items. Descriptive statistical analysis showed that the overall mean of institutional wellbeing reached 4.02 on the five-point Likert scale, reflecting a relatively high level of wellbeing among employees in the institution. Within the framework of Positive Statistics methodology, the Positive Empowerment Index (PEI) was calculated for the five PERMA dimensions to standardize the interpretation of wellbeing indicators. The results revealed that PEI values ranged between 0.68 and 0.81, indicating generally high levels of positive empowerment across the examined dimensions. Multiple regression analysis showed that the PERMA dimensions collectively explain 56.3% of the variance in satisfaction with the work environment (R² = 0.563). The accomplishment dimension emerged as the most influential factor affecting institutional satisfaction (Beta = 0.533, Sig = 0.000). The findings highlight the importance of professional accomplishment and positive emotional experiences in strengthening institutional wellbeing and demonstrate the value of the Positive Statistics methodology as an analytical approach for measuring empowerment and improvement factors within organizations.
References
المراجع العربية:
1. البديري، حسين ربيع. (2025) الإحصاء الإيجابي في القطاع الصحي: تحوّل منهجي نحو قياس الازدهار وجودة الحياة. مجلة أكاديمية الإحصاء الإيجابي، 1(1).
https://doi.org/10.5281/zenodo.18619176
2. الخطيب، سحر فاضل محمد، والعدول، أشرف إبراهيم محمد التمكين الصحي والتحسّن النسبي في أمراض المسالك البولية بمحافظة نينوى: دراسة تطبيقية باستخدام الإحصاء الإيجابي. مجلة أكاديمية الإحصاء الإيجابي، 1(1). https://doi.org/10.5281/zenodo.18619176
3. الجسار، أحمد جمال. (2025) فلسفة الإحصاء الإيجابي: التأصيل العلمي والمنهجي لرؤية جديدة في تحليل الظواهر. https://doi.org/10.5281/zenodo.18093800
4. الجسار، أحمد جمال. (2026). التمكين المكاني والهيكلي لإنتاج الحنطة في محافظات العراق لعام 2024 باستخدام منهجية الإحصاء الإيجابي. المجلة الدولية للبحوث العلمية. https://doi.org/10.59992/IJSR.2026.v5n1p11
5. عزات، مولاي الحنفي. (2025) قياس التمكين الإيجابي وأثره على معدل الإشغال في القطاع السياحي المغربي لعام 2023: دراسة تطبيقية باستخدام مؤشر CPAI في الإحصاء الإيجابي. مجلة أكاديمية الإحصاء الإيجابي، 1(1). https://doi.org/10.5281/zenodo.18619176
6. محمد، إخلاص أحمد موسى. (2025) مقاربة إحصائية إيجابية لتقييم جودة المنتجات الدوائية: دراسة حالة شركة النيل الأزرق للصناعات الدوائية باستخدام SQC وMANOVA مجلة أكاديمية الإحصاء الإيجابي، 1(1). https://doi.org/10.5281/zenodo.18619176
المراجع الأجنبية:
1. Al-Jassar, A. J. (2025). The Positive Statistics Methodology: Scientific and Methodological Foundations of an Empowerment-Oriented Analytical School. Positive Statistics Academy Journal (PSAJ), 1(1), 1–4. https://doi.org/10.5281/zenodo.18619176.
2. Butler, J., & Kern, M. L. (2016). The PERMA-Profiler: A brief multidimensional measure of flourishing. International Journal of Wellbeing, 6(3), 1–48. https://doi.org/10.5502/ijw.v6i3.526.
3. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.https://doi.org/10.1007/BF02310555.
4. Donaldson, S. I., van Zyl, L. E., & Donaldson, S. I. (2022). PERMA+4: A framework for work-related wellbeing. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2022.857206.
5. Eger, R., & Maridal, J. (2015). A statistical meta-analysis of the wellbeing literature. International Journal of Wellbeing, 5(2), 45–74. https://doi.org/10.5502/ijw.v5i2.4.
6. Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE Publications.
7. Seligman, M. E. P. (2011). Flourish: A visionary new understanding of happiness and well-being. Free Press.