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Evaluation of STEM Literacy Test Instrument on Elements, Compounds and Mixtures Using Multidimensional Rasch Analysis

Journal of Innovative Science Education · Vol. 13 No. 2 (2024) · hlm. 55–63

DOI
10.15294/jise.v13i2.4611
ISSN
2502-4523, 2252-6412
Terbit
2024-08-31
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

STEM literacy is crucial in the 21st century, encompassing science, technology, engineering, and mathematics, allowing individuals to understand and apply conceptual knowledge to real-life problems. Evaluation of STEM literacy instruments is essential for improving the quality of STEM learning. This study aims to evaluate the STEM literacy test instrument using multidimensional Rasch analysis. This study employed a quantitative approach, including a description to validate the research instrument. The instrument consists of 22 items measuring science, technology, engineering, and mathematics literacy, focusing on elements, compounds, and mixtures. Participants included 259 eighth-grade students randomly selected from public junior high schools in Balongpanggang and Benjeng, Gresik, East Java. Data analysis employed a Rasch model with ConQuest programs. Results indicated that the multidimensional model had better-fit parameters than the unidimensional model and demonstrated that the item's validity and instrument's reliability meet requirements. The interaction between students' abilities and items revealed that most students have moderate to low STEM literacy abilities. Additionally, the analysis found no differential item functioning based on gender differences. This research indicates that multidimensional Rasch analysis helps evaluate STEM literacy test instruments so that valid and reliable instruments can provide accurate measurements in improving students' STEM literacy skills.

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  • State University of Semarang
  • IAIN Syekh Nurjati Cirebon
  • The University of Queensland
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Rekan penulisOrganisasiArtikel bersama
Ellianawati EllianawatiState University of Semarang12
Sigit SaptonoState University of Semarang11
Putut MarwotoState University of Semarang11
Saiful RidloState University of Semarang10
Melissa Salma DarmawanState University of Semarang9
Woro SumarniState University of Semarang9
Novi Ratna DewiState University of Semarang8
Bambang SubaliState University of Semarang8
Sudarmin SudarminState University of Semarang8
Muhamad TaufiqState University of Semarang6
Fidia FibrianaState University of Semarang6
Indah Urwatin WusqoState University of Semarang5
Parmin ParminState University of Semarang5
Tiara Dwi WulandariState University of Semarang5
Wiwi IsnaeniState University of Semarang5
Endang SusilaningsihState University of Semarang5
Sarwi SarwiState University of Semarang5
Bambang SubaliAfiliasi tidak diketahui5
Masturi MasturiState University of Semarang5
Aditya MariantiState University of Semarang4
Sugianto SugiantoIAIN Syekh Nurjati Cirebon4
Sugianto SugiantoState University of Semarang4
Ngurah Made Darma PutraState University of Semarang4
Arka YanitamaState University of Semarang3
Stephani Diah PamelasariState University of Semarang3
Dyah Rini IndriyantiAfiliasi tidak diketahui3
Aji PurwinarkoState University of Semarang3
. SupriyadiThe University of Queensland3
Wardono WardonoAfiliasi tidak diketahui3
Enni Suwarsi RahayuState University of Semarang3
Siti AlimahState University of Semarang3
KhumaediState University of Semarang3
Budi AstutiAfiliasi tidak diketahui3
Nathan HindartoState University of Semarang3
Suharto LinuwihState University of Semarang3

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/jise/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Evaluation of STEM Literacy Test Instrument on Elements, Compounds and Mixtures Using Multidimensional Rasch Analysis</dc:title>
	<dc:creator xml:lang="en">Wahyudi, Ikwan</dc:creator>
	<dc:creator xml:lang="en">Rusilowati, Ani</dc:creator>
	<dc:creator xml:lang="en">Nugroho, Sunyoto Eko</dc:creator>
	<dc:creator xml:lang="en">Wiyanto, Wiyanto</dc:creator>
	<dc:creator xml:lang="en">Widiyatmoko, Arif</dc:creator>
	<dc:subject xml:lang="en">multidimensional model</dc:subject>
	<dc:subject xml:lang="en">Rasch analysis</dc:subject>
	<dc:subject xml:lang="en">STEM literacy</dc:subject>
	<dc:description xml:lang="en">STEM literacy is crucial in the 21st century, encompassing science, technology, engineering, and mathematics, allowing individuals to understand and apply conceptual knowledge to real-life problems. Evaluation of STEM literacy instruments is essential for improving the quality of STEM learning. This study aims to evaluate the STEM literacy test instrument using multidimensional Rasch analysis. This study employed a quantitative approach, including a description to validate the research instrument. The instrument consists of 22 items measuring science, technology, engineering, and mathematics literacy, focusing on elements, compounds, and mixtures. Participants included 259 eighth-grade students randomly selected from public junior high schools in Balongpanggang and Benjeng, Gresik, East Java. Data analysis employed a Rasch model with ConQuest programs. Results indicated that the multidimensional model had better-fit parameters than the unidimensional model and demonstrated that the item's validity and instrument's reliability meet requirements. The interaction between students' abilities and items revealed that most students have moderate to low STEM literacy abilities. Additionally, the analysis found no differential item functioning based on gender differences. This research indicates that multidimensional Rasch analysis helps evaluate STEM literacy test instruments so that valid and reliable instruments can provide accurate measurements in improving students' STEM literacy skills.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-08-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/jise/article/view/4611</dc:identifier>
	<dc:identifier>10.15294/jise.v13i2.4611</dc:identifier>
	<dc:source xml:lang="en">Journal of Innovative Science Education; Vol. 13 No. 2 (2024): August 2024; 55-63</dc:source>
	<dc:source>2502-4523</dc:source>
	<dc:source>2252-6412</dc:source>
	<dc:source>10.15294/jise.v13i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jise/article/view/4611/1353</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Journal of Innovative Science Education</dc:rights>
</oai_dc:dc>