The Application of Rasch Model to Analyse the Validity and Reliability of an Instrument for Reflective Thinking Skills on Topic of Wave-Particle Dualism

This study aims to analyse the validity and reliability of an instrument for assessing reflective thinking skills on the topic of wave-particle dualism in modern physics lectures using the Rasch model. The Rasch model was selected for its capability to provide a more in-depth analysis of item performance and respondent ability, as well as to identify misfitting or biased items. The research method employed is a descriptive quantitative approach, utilizing Winsteps software for data analysis. The sample consists of 36 students enrolled in modern physics lectures at a university in West Nusa Tenggara. The results indicate that the instrument has excellent item reliability (0.91) and excellent internal consistency (Cronbach's Alpha 0.86), although the respondent reliability falls into the weak category (0.62). The instrument's validity also meets the Rasch model's acceptance criteria, with infit MNSQ and outfit MNSQ values ranging from 0.5 to 1.5. Further analysis reveals that some items are misfitting and need revision to ensure fairness and consistency in measuring reflective thinking skills. These findings make a significant contribution to the development of more accurate and reliable assessment tools in physics education

Authors

Institutions

Publication Details

Journal
Kappa Journal
Published
2024-08-30
DOI
https://doi.org/10.29408/kpj.v8i2.27049
Primary Topic
Educational Research and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Application of Rasch Model to Analyse the Validity and Reliability of an Instrument for Reflective Thinking Skills on Topic of Wave-Particle Dualism

Tarpin Juandi, Lala Septem Riza, Achmad Samsudin, Ida Kaniawati
Kappa Journal
Educational Research and Pedagogy
article

The Application of Rasch Model to Analyse the Validity and Reliability of an Instrument for Reflective Thinking Skills on Topic of Wave-Particle Dualism

Tarpin Juandi, Lala Septem Riza, Achmad Samsudin, Ida Kaniawati
article en

Abstract

This study aims to analyse the validity and reliability of an instrument for assessing reflective thinking skills on the topic of wave-particle dualism in modern physics lectures using the Rasch model. The Rasch model was selected for its capability to provide a more in-depth analysis of item performance and respondent ability, as well as to identify misfitting or biased items. The research method employed is a descriptive quantitative approach, utilizing Winsteps software for data analysis. The sample consists of 36 students enrolled in modern physics lectures at a university in West Nusa Tenggara. The results indicate that the instrument has excellent item reliability (0.91) and excellent internal consistency (Cronbach's Alpha 0.86), although the respondent reliability falls into the weak category (0.62). The instrument's validity also meets the Rasch model's acceptance criteria, with infit MNSQ and outfit MNSQ values ranging from 0.5 to 1.5. Further analysis reveals that some items are misfitting and need revision to ensure fairness and consistency in measuring reflective thinking skills. These findings make a significant contribution to the development of more accurate and reliable assessment tools in physics education

Kappa JournalVol. 8(2)
Indonesia University of Education (ID)
Universitas Pendidikan Indonesia, Lembaga Pengelola Dana Pendidikan
Openalex Percentile: Top 64%
Educational Research and Pedagogy
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.