Rasch Model for Analysis of Scientific Attitude Instruments in the Context of Secondary School Science Education

This study aims to analyze the psychometric quality of a scientific attitude questionnaire instrument for secondary school students using the Rasch Model. The instrument, developed based on Harlen’s theory, includes four key dimensions: curiosity, respect for data, critical thinking, and open-mindedness/cooperation. A survey method was employed with 30 seventh-grade students in Bandung City as respondents. Data were collected through a four-point Likert scale questionnaire and analyzed using Winsteps 4.6.0 software. The Results revealed that 16 out of 23 items fit the model based on Outfit Mean Square, Z-Standard, and Point-Measure Correlation indicators. The instrument also demonstrated high overall validity and reliability, with an Outfit MNSQ of 1.00, ZSTD of -0.17, an item separation index of 2.91, and a reliability coefficient of 0.89, indicating good discrimination and stable measurement structure. In conclusion, the scientific attitude instrument exhibits strong psychometric properties and can serve as a valid tool for assessing student attitudes in science education. However, revisions are needed for seven misfitting items to enhance clarity and construct alignment. Further validation on broader populations is recommended to ensure generalizability.

Authors

Institutions

Publication Details

Journal
Equator Science Journal
Published
2025-06-30
DOI
https://doi.org/10.61142/esj.v3i2.234
Primary Topic
Educational Methods and Teacher Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rasch Model for Analysis of Scientific Attitude Instruments in the Context of Secondary School Science Education

Siti Eneng Sururiyatul Mu'aziyah, Anggie Siti Perdani, Nur Rizki Silviani Suryadi, Laila Nurmegawati
Equator Science Journal
Educational Methods and Teacher Development
article

Rasch Model for Analysis of Scientific Attitude Instruments in the Context of Secondary School Science Education

Siti Eneng Sururiyatul Mu'aziyah, Anggie Siti Perdani, Nur Rizki Silviani Suryadi, Laila Nurmegawati
article en

Abstract

This study aims to analyze the psychometric quality of a scientific attitude questionnaire instrument for secondary school students using the Rasch Model. The instrument, developed based on Harlen’s theory, includes four key dimensions: curiosity, respect for data, critical thinking, and open-mindedness/cooperation. A survey method was employed with 30 seventh-grade students in Bandung City as respondents. Data were collected through a four-point Likert scale questionnaire and analyzed using Winsteps 4.6.0 software. The Results revealed that 16 out of 23 items fit the model based on Outfit Mean Square, Z-Standard, and Point-Measure Correlation indicators. The instrument also demonstrated high overall validity and reliability, with an Outfit MNSQ of 1.00, ZSTD of -0.17, an item separation index of 2.91, and a reliability coefficient of 0.89, indicating good discrimination and stable measurement structure. In conclusion, the scientific attitude instrument exhibits strong psychometric properties and can serve as a valid tool for assessing student attitudes in science education. However, revisions are needed for seven misfitting items to enhance clarity and construct alignment. Further validation on broader populations is recommended to ensure generalizability.

Equator Science JournalVol. 3(2)
Parahyangan Catholic University (ID), Universitas Trunodjoyo Madura (ID)
Openalex Percentile: Top 73%
Educational Methods and Teacher Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.