Package index
Item-level statistics
Compute item difficulty and discrimination from a response matrix (examinees in rows, items in columns) and an answer key.
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item_difficulty() - Item difficulty (p-value)
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item_discrimination() - Item discrimination
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point_biserial() - Point-biserial correlation
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distractor_analysis() - Distractor analysis
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distractor_efficiency() - Distractor efficiency
Full analysis and output
One-call wrapper returning an mcq_analysis S3 object with dedicated print, plot, and APA-table methods.
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mcq_analysis() - Comprehensive multiple-choice item analysis
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plot(<mcq_analysis>) - Plot a difficulty-discrimination scatter for an mcq_analysis object
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apa_table() - Generic APA-style table formatter
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apa_table(<mcq_analysis>) - APA-style table for an mcq_analysis object
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mcq_example - Simulated multiple-choice test data