Rasch validation of instrument measuring gen-Z science, technology, engineering, and mathematics (STEM) application in teaching during the pandemic

Qudratuddarsi, Hilman and Hidayat, Riyan and Raja Maamor Shah, Raja Lailatul Zuraida binti and Nasir, Nurihan and Imami, Muh Khairul Wajedi and Mat Nor, Rusdi bin (2022) Rasch validation of instrument measuring gen-Z science, technology, engineering, and mathematics (STEM) application in teaching during the pandemic. International Journal of Learning, Teaching and Educational Research, 21 (6). 104 – 121. ISSN 1694-2116, DOI https://doi.org/10.26803/ijlter.21.6.7.

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Abstract

The impact of the Covid-19 pandemic has had a far-reaching effect on higher education institutions, and individual student assessments have garnered much attention during the pandemic. This study aimed to validate Science, Technology, Engineering, and Mathematics (STEM) application instruments using the Rasch analysis employing Winsteps version 3.73. A survey was conducted with 201 respondents from two provinces in Indonesia. The students were selected by convenience sampling and answered the adopted STEM application instrument. The STEM application instruments were adapted, and these were divided into seven sub-constructs derived from STEM disciplines. Rasch Modelling was employed for data analysis using Winsteps version 3.7.3 to analyse reliability, separation, item fit statistics, unidimensionality, and rating scale calibration. Each sub-construct fulfilled a minimum of 0.65 for Cronbach alpha, item, and person reliability, and most of them had more than 1.5 person and item separation. In general, each item had a good score of the mean square, Z-tolerated standard, and point measure correlation, indicating fulfilment of the Rasch measurement model. The analysis also showed unidimensionality assumption and an excellent rating scale. This study contributed to the body of STEM knowledge by using Rasch Modelling to test the validity and reliability of STEM application instruments. © 2022 Society for Research and Knowledge Management. All rights reserved.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: COVID-19 pandemic; Gen-Z; higher education; Rasch model; STEM education
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
Divisions: Faculty of Education
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 08 Apr 2025 03:06
Last Modified: 08 Apr 2025 03:06
URI: http://eprints.um.edu.my/id/eprint/43796

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