Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian students
In the networked society era, more research on students’ digital citizenship levels has been conducted and reported. However, rarely is this topic covered from third-world countries, which have seen significant increases in the numbers of Internet users. Seeking to examine digital citizenship levels...
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Format: | Article |
Language: | English |
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Italian e-Learning Association
2022-12-01
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Series: | Je-LKS: Journal of E-Learning and Knowledge Society |
Subjects: | |
Online Access: | https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135684 |
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author | Wibowo Heru Prasetiyo Beti Indah Sari Patmisari Halimah Sa'diyah Noor Banu Mahadir Naidu Eko Prasetyo |
author_facet | Wibowo Heru Prasetiyo Beti Indah Sari Patmisari Halimah Sa'diyah Noor Banu Mahadir Naidu Eko Prasetyo |
author_sort | Wibowo Heru Prasetiyo |
collection | DOAJ |
description | In the networked society era, more research on students’ digital citizenship levels has been conducted and reported. However, rarely is this topic covered from third-world countries, which have seen significant increases in the numbers of Internet users. Seeking to examine digital citizenship levels in Indonesian students, this study employed the non-experimental quantitative research design with an online questionnaire distributed to a total of 581 students. The data collected were analyzed using Rasch Model measurement and Winsteps 5.1.2 software. Descriptive statistical analysis was utilized to evaluate students’ digital literacy readiness in terms of knowledge and understanding in accessing technology and the Internet, while Differential Item Functioning (DIF) was utilized to identify digital citizenship levels based on demographic profile. The findings showed that students had high levels of readiness in relation to Internet skills, Internet attitudes, computer self-efficacy, and three digital citizenship sub-scales. More in-depth analysis indicated the presence of differences in students’ digital citizenship levels by gender, parents’ education level, and Internet use frequency. It is hoped that this research will expand literature concerning digital citizenship as a reference for future research works and for policymakers, particularly in developing countries.
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first_indexed | 2024-04-11T04:15:21Z |
format | Article |
id | doaj.art-937bb3fb3adc4ac4b780f659a8632ea1 |
institution | Directory Open Access Journal |
issn | 1826-6223 1971-8829 |
language | English |
last_indexed | 2024-04-11T04:15:21Z |
publishDate | 2022-12-01 |
publisher | Italian e-Learning Association |
record_format | Article |
series | Je-LKS: Journal of E-Learning and Knowledge Society |
spelling | doaj.art-937bb3fb3adc4ac4b780f659a8632ea12022-12-31T19:44:40ZengItalian e-Learning AssociationJe-LKS: Journal of E-Learning and Knowledge Society1826-62231971-88292022-12-0118310.20368/1971-8829/1135684Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian studentsWibowo Heru Prasetiyo0Beti Indah Sari1Patmisari2Halimah Sa'diyah3Noor Banu Mahadir Naidu4Eko Prasetyo5{'en_US': 'Universitas Muhammadiyah Surakarta'}IAIN TulungagungUniversitas Muhammadiyah SurakartaUniversitas Muhammadiyah SurakartaUniversiti Pendidikan Sultan IdrisUniversitas Muhammadiyah SurakartaIn the networked society era, more research on students’ digital citizenship levels has been conducted and reported. However, rarely is this topic covered from third-world countries, which have seen significant increases in the numbers of Internet users. Seeking to examine digital citizenship levels in Indonesian students, this study employed the non-experimental quantitative research design with an online questionnaire distributed to a total of 581 students. The data collected were analyzed using Rasch Model measurement and Winsteps 5.1.2 software. Descriptive statistical analysis was utilized to evaluate students’ digital literacy readiness in terms of knowledge and understanding in accessing technology and the Internet, while Differential Item Functioning (DIF) was utilized to identify digital citizenship levels based on demographic profile. The findings showed that students had high levels of readiness in relation to Internet skills, Internet attitudes, computer self-efficacy, and three digital citizenship sub-scales. More in-depth analysis indicated the presence of differences in students’ digital citizenship levels by gender, parents’ education level, and Internet use frequency. It is hoped that this research will expand literature concerning digital citizenship as a reference for future research works and for policymakers, particularly in developing countries. https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135684Digital CitizenshipInternet SkillsInternet AttitudeComputer Self-EfficacyRasch Model |
spellingShingle | Wibowo Heru Prasetiyo Beti Indah Sari Patmisari Halimah Sa'diyah Noor Banu Mahadir Naidu Eko Prasetyo Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian students Je-LKS: Journal of E-Learning and Knowledge Society Digital Citizenship Internet Skills Internet Attitude Computer Self-Efficacy Rasch Model |
title | Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian students |
title_full | Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian students |
title_fullStr | Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian students |
title_full_unstemmed | Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian students |
title_short | Using Rasch model analysis for assessing psychometric properties of digital citizenship in Indonesian students |
title_sort | using rasch model analysis for assessing psychometric properties of digital citizenship in indonesian students |
topic | Digital Citizenship Internet Skills Internet Attitude Computer Self-Efficacy Rasch Model |
url | https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1135684 |
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