Analysis of Question Difficulty Levels Based on Science Process Skills Indicators Using the Rasch Model Article Swipe
Isnawati Isnawati
,
Siti Sriyati
,
Rika Rafika Agustin
,
Supriyadi Supriyadi
,
Yohanes Freadyanus Kasi
,
Ismail Ismail
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.24042/tadris.v9i1.22410
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.24042/tadris.v9i1.22410
This study analyzed the difficulty level of a science process skills test using the Rasch Model. Conducted with high school students, the study employed a quasi-experimental design with pretest and posttest assessments to measure changes in nine indicators of science process skills following an educational intervention. The intervention, an e-module on climate change based on place-based education, was integrated into the science curriculum. Results showed significant improvements in students' abilities across all indicators, with initially challenging questions becoming easier post-intervention. These findings underscore the effectiveness of e-modules in enhancing science process skills such as observing, communicating, interpreting, predicting, classifying, asking questions, applying concepts, formulating hypotheses, and planning experiments. The analysis using the Rasch Model indicated a decrease in question difficulty levels from a positive measure value in the pretest (+2.13) to a negative measure value in the posttest (-2.13). The greatest improvements were observed in the indicators for formulating hypotheses (question 8) and planning experiments (question 9), with differences of -7.91 and -7.15, respectively. This study highlights the utility of the Rasch Model in educational assessment and the potential for targeted educational interventions to enhance student performance and learning outcomes in science education.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.24042/tadris.v9i1.22410
- OA Status
- gold
- Cited By
- 1
- References
- 16
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- OpenAlex ID
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All OpenAlex metadata
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- DOI
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https://doi.org/10.24042/tadris.v9i1.22410Digital Object Identifier
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Analysis of Question Difficulty Levels Based on Science Process Skills Indicators Using the Rasch ModelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-06-22Full publication date if available
- Authors
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Isnawati Isnawati, Siti Sriyati, Rika Rafika Agustin, Supriyadi Supriyadi, Yohanes Freadyanus Kasi, Ismail IsmailList of authors in order
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https://doi.org/10.24042/tadris.v9i1.22410Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.24042/tadris.v9i1.22410Direct OA link when available
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Rasch model, Polytomous Rasch model, Process (computing), Item response theory, Psychology, Computer science, Econometrics, Mathematics, Statistics, Psychometrics, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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