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cohen-kappa-score

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EngrEeshaKhan / Child-Mind-Institute-Problematic-Internet-Use

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The goal of this project is to develop a predictive model that analyzes children's physical activity and fitness data to identify early signs of problematic internet use. Identifying these patterns can help trigger interventions to encourage healthier digital habits.

health activity-monitoring mental-health multiclass-classification physical-activity sleep-analysis screen-time internet-addiction behavioral-health problematic-internet-use psychological-wellbeing tim-series-analysis cohen-kappa-score internet-usage-patterns digital-behavior actigraphy-data
  • Updated Aug 19, 2026
  • Python

raoghenerume / kr20_icc_kappa_item_analysis

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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.

python testing data-science statistics reliability python-programming-language standardization cohens-kappa psychometrics item-analysis reliability-analysis reliability-score intraclass-correlation-coefficient psychometric-analysis reliability-testing cohen-kappa-score kuder-richardson-formula-20 kr-20
  • Updated Jun 19, 2026
  • Jupyter Notebook

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