Statistical Evaluation of Conduciveness in Sadd al-Dharāʾiʿ: An Analytical Study

This analytical study explores the potential of statistical methods for evaluating conduciveness in sadd al-dhari, addressing the current lack of quantitative approaches in this principle of Islamic jurisprudence.The research employs a qualitative methodology, conducting a review of primary Islamic texts and literature, contemporary academic publications, and relevant fatwas.Through content analysis, comparative analysis, and conceptual analysis, the study develops a preliminary framework for statistical evaluation of conduciveness in sadd al-dhari.Key findings reveal that integrating statistical techniques with traditional Islamic legal reasoning can enhance objectivity and precision in assessing the likelihood of permissible actions leading to prohibited outcomes.The proposed framework incorporates steps such as data collection, validation, statistical analysis, and interpretation, all aligned with Islamic legal principles.Analysis of contemporary fatwas and hypothetical case studies demonstrates the framework's potential for providing more nuanced, evidence-based assessments of complex issues.The study concludes that while statistical evaluation offers significant benefits, it must be carefully balanced with traditional scholarship and ethical considerations to maintain consistency with the objectives of Islamic law.

Publication Details

Journal
Journal of Contemporary Islamic Law
Published
2024-12-01
DOI
https://doi.org/10.26475/jcil.2024.9.2.05
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Statistical Evaluation of Conduciveness in Sadd al-Dharāʾiʿ: An Analytical Study

Journal of Contemporary Islamic Law
Islamic Finance and Banking Studies
article

Statistical Evaluation of Conduciveness in Sadd al-Dharāʾiʿ: An Analytical Study

article en

Abstract

This analytical study explores the potential of statistical methods for evaluating conduciveness in sadd al-dhari, addressing the current lack of quantitative approaches in this principle of Islamic jurisprudence.The research employs a qualitative methodology, conducting a review of primary Islamic texts and literature, contemporary academic publications, and relevant fatwas.Through content analysis, comparative analysis, and conceptual analysis, the study develops a preliminary framework for statistical evaluation of conduciveness in sadd al-dhari.Key findings reveal that integrating statistical techniques with traditional Islamic legal reasoning can enhance objectivity and precision in assessing the likelihood of permissible actions leading to prohibited outcomes.The proposed framework incorporates steps such as data collection, validation, statistical analysis, and interpretation, all aligned with Islamic legal principles.Analysis of contemporary fatwas and hypothetical case studies demonstrates the framework's potential for providing more nuanced, evidence-based assessments of complex issues.The study concludes that while statistical evaluation offers significant benefits, it must be carefully balanced with traditional scholarship and ethical considerations to maintain consistency with the objectives of Islamic law.

Journal of Contemporary Islamic LawVol. 9(2)
Openalex Percentile: Top 49%
Islamic Finance and Banking Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Statistical Evaluation of Conduciveness in Sadd al-Dharāʾiʿ: An Analytical Study · Journal of Contemporary Islamic Law (2024) | TGRS Research Map | TGRS