مجلة العلوم التربوية والاجتماعية

الخصائص السيكومترية للصورة العربية لمقياس اكتئاب انقطاع الطمث (MENO-D)

Psychometric properties of the Arabic version of the Menopausal Depression Scale (MENO-D)

د. نوره بنت سعد البقمي

Dr. Norah Saad Al. baqami

الكلمات مفتاحية: الخصائص السيكومترية, الاكتئاب, انقطاع الطمث, psychometric properties, depression, menopause

DOI: 10.36046/2162-000-013-015
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الملخص

تشيرُ الأدبيَّات الحديثة إلى أنَّ اكتئاب انقطاع الطَّمث هو نوعٌ فرعيٌّ فريدٌ مِن الاكتئاب، مع أعراض مميِّزة ومُسببات ودورة تختلف عن الأنواع الفرعية الأخرى للاكتئاب. والهدفُ الأساسيُّ مِن الدراسة الحالية هو التعرف على دلالات صدق وثبات الصورة العربية من مقياس اكتئاب انقطاع الطمث الذي أعدته كولكارني وآخرونKulkarni et al.,  (2018)، وقد أظهرت بيانات الصدق والثبات التي ارتكزت على أداء عيِّنة مِن النساء في مرحلة منتصف العمر (ن =169) معاملاتِ اتِّساق وثبات مقبولة عموماً، مِن خلال حساب معاملات الارتباط المُصححة وألفا كرونباخ. في موازاة ذلك قدمت الدراسة دلالات هامّة للصدق التقاربي باستخدام المقاييس المحكيَّة، كما قدَّم التحليل العاملي التوكيدي لعبارات المقياس دعمًا للصدق مِن خلال الكشف عَن بُنية عاملية خماسية الأبعاد، وتُشير النتائج في مجملها إلى صلاحية النسخة العربية المقترحة لمقياس اكتئاب انقطاع الطَّمث في الثقافة العربية.

Recent literature indicates that menopausal depression is a unique subtype of depression, with distinct symptoms, etiology, and course that differ from other depression subtypes. The main objective of the current study is to identify the significance of the validity and reliability of the Arabic version of the menopausal depression scale prepared by Kulkarni et al. (2018) The data showed validity and reliability based on the performance of a sample of middle-aged women (n = 169). Generally accepted consistency and stability coefficients, by calculating the corrected correlation coefficients and Cronbach's alpha. In parallel, the study presented important indications of convergent validity using spoken scales, and Confirmatory factor analysis of the scale expressions provided support for validity by revealing a five-dimensional factor structure.

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