September 10, 2025JURNAL PIJAR MIPAOpen Access

Evaluation of HOTS Test on Renewable Energy Materials through Rasch Model Analysis

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Quantitative analysis of higher-order thinking skills assessment in renewable energy materials, indicating psychometric strengths and weaknesses.

The evaluation shows that the assessment instrument generally demonstrates adequate psychometric quality, yet three items misfit the Rasch Model predictions.
Analysis using the Wright map reveals a nearly normal distribution of student abilities, contrasting sharply with the uneven distribution of item difficulties.
Utilizing the Item Characteristic Curve analysis allows for better detection of discrepancies in response patterns among assessment items.
Findings emphasize the necessity for additional test items to cover a broader range of student abilities and enhance assessment precision.

Rahmatillah et al. (2025) studied this question.

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Quantitative analysis of higher-order thinking skills assessment in renewable energy materials, indicating psychometric strengths and weaknesses.