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reliability-score

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The Python analysis measured the internal consistency reliability of a 20-item, four-construct questionnaire using Cronbach's alpha (α). The instrument measures perceptions across four technology-and-investigation constructs: Artificial Intelligence (AI), Blockchain Technology (BCT), Big Data Analytics (BDA), and Forensic Fraud Investigation (FFI).

  • Updated Sep 27, 2026
  • Jupyter Notebook

Conducted in Python, this analysis examines the internal consistency (using Kuder-Richardson Formula 20 [KR-20]), inter-rater reliability (using Intraclass Correlation Coefficient [ICC] and Cohen's Kappa), item difficulty and discrimination indices, and the relationship between multiple-choice and essay sections for mixed-format achievement tests.

  • Updated Jun 19, 2026
  • Jupyter Notebook

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