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This is a Quantitative Study study.

September 18, 2025

Implementing Rasch Model for Modern Test Evaluation Using Python Prototype

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This research demonstrates the Rasch Model's efficacy for test evaluation, suggesting computer adaptive testing may improve educational assessments.

Results show item difficulty and participant ability estimation, with standard errors under 0.30, improving test design reliability.
The prototype correlates highly with Winsteps software (correlation = 0.98), validating its application in test evaluation.
The study employs a custom Python prototype and utilizes dichotomous exam data from a significant sample for analysis.
Future work should address limitations like the command-line interface and expand scalability for larger datasets.

Sestri Novia Rizki (2025) studied this question.

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This research demonstrates the Rasch Model's efficacy for test evaluation, suggesting computer adaptive testing may improve educational assessments.