R-universe - ahmetcaliskan1987 (Ahmet Çalışkan)

ItemRest - Automated Item Removal Strategies for Exploratory Factor Analysis

Identifies candidate item sets through threshold-driven iterative removal searches in exploratory factor analysis. Provides a no-removal baseline, numerical diagnostics, factor reliability, holdout evaluation, and bootstrap search stability to support transparent screening and documented content review rather than automatic measurement decisions. The loading criteria are based on best practices and established heuristics (e.g., Costello & Osborne (2005) <doi:10.7275/jyj1-4868>, Howard (2016) <doi:10.1080/10447318.2015.1087664>). Includes flexible thresholds for factor loadings (min_loading) and cross-loading differences (loading_diff).

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efafactor-analysisitem-analysisitem-removal

4.65 score 1 dependents 5 scripts 380 downloads

examly - Statistical Metrics and Reporting Tool

A 'Shiny'-based toolkit for item/test analysis. It is designed for multiple-choice, true-false, and open-ended questions. The toolkit is usable with datasets in 1-0 or other formats. Key analyses include difficulty, discrimination, response-option analysis, reports. The classical test theory methods used are described in Ebel & Frisbie (1991, ISBN:978-0132892314).

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4.48 score 283 downloads