Illuminating the Shadows: A Qur’ānic Theodicy on the Problem of Evil


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KIZILÇİM Z. N., ÇETİN S.

Journal of Islamic Thought and Civilization, cilt.15, sa.2, ss.202-215, 2026 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 2
  • Basım Tarihi: 2026
  • Doi Numarası: 10.32350/jitc.152.01
  • Dergi Adı: Journal of Islamic Thought and Civilization
  • Derginin Tarandığı İndeksler: Scopus, ATLA Religion Database, Index Islamicus, Directory of Open Access Journals
  • Sayfa Sayıları: ss.202-215
  • Anahtar Kelimeler: computer use, differential item function, eTIMSS, measurement invariance
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Hacettepe Üniversitesi Adresli: Evet

Özet

This study investigates whether the TIMSS 2019 Computer Use Questionnaire functions equivalently across languages and cultures. Using responses from 8th-grade students in Türkiye, England, and Qatar, we evaluated cross-group comparability with Multiple-Group Confirmatory Factor Analysis (MGCFA) and examined Differential Item Functioning (DIF) via Ordinal Logistic Regression (OLR) and Poly-SIBTEST. The instrument comprises 11 Likert-type items organized into two factors—Computer Usage Frequency and Computer Usage Self-Efficacy—supported by exploratory and confirmatory factor analyses. For the same-culture/different-language comparison (Qatar Arabic vs. English), configural and metric invariance were supported, whereas scalar invariance was not. For the different-culture/different-language comparison (England vs. Türkiye), only configural invariance was obtained, indicating that factor loadings and intercepts were not fully comparable across these countries. DIF findings varied by method: OLR flagged mostly negligible DIF in the frequency items for the same-culture comparison, while Poly-SIBTEST identified several items with moderate to large DIF; in the cross-culture comparison, both methods indicated DIF for most items, particularly within the self-efficacy factor. The pattern of results suggests that linguistic adaptation, access to technology, and differences in technology-related experiences contribute to nonequivalence. We propose revising culture-sensitive terms, clarifying item contexts, and incorporating qualitative evidence to strengthen score comparability in future administrations.