Research Article
The Development and Psychometric Properties of the Academic Dishonesty Scale (Indonesian Version) in Emerging Adulthood Students
@INPROCEEDINGS{10.4108/eai.29-5-2025.2360820, author={Philicia Christanti Martajaya and Jason Dionnicius Young and Sandi Kartasasmita and Didik Brahmantio Saryono and Tasya Viviana}, title={The Development and Psychometric Properties of the Academic Dishonesty Scale (Indonesian Version) in Emerging Adulthood Students}, proceedings={Proceedings of the 7th International Seminar on Psychology Universitas Muhammadiyah Purwokerto, ISPsy 2025, 29th May 2025, Purwokerto, Central Java, Indonesia}, publisher={EAI}, proceedings_a={ISPSY}, year={2025}, month={12}, keywords={academic dishonesty artificial intelligence emerging adulthood students psychometric properties}, doi={10.4108/eai.29-5-2025.2360820} }- Philicia Christanti Martajaya
Jason Dionnicius Young
Sandi Kartasasmita
Didik Brahmantio Saryono
Tasya Viviana
Year: 2025
The Development and Psychometric Properties of the Academic Dishonesty Scale (Indonesian Version) in Emerging Adulthood Students
ISPSY
EAI
DOI: 10.4108/eai.29-5-2025.2360820
Abstract
Academic dishonesty has become a substantial issue in educational institutions. AI technologies have come up with additional challenges to academic integrity, requiring the use of updated measuring tools. Currently, no validated Academic Dishonesty Scale exists in Indonesia, encouraging the development of an Indonesian version. This study aims to develop an Academic Dishonesty Scale (ADS) Indonesian version for emerging adulthood students and examine its psychometric properties. The scale highlights current AI challenges in education. Following analysis, 18 items were retained across three categories, including (a) integrity compromised, (b) misuse of AI, and (c) general cheating with 18-items. This study involved 288 emerging adult students, consisting of 59 males (20.5%) and 229 females (79.5%), aged 18-25 years (M = 19.70 years). Cronbach's alpha was .814 and CFA showed excellent fit: CFI = .950, RMSEA = .047, SRMR= .047, and GFI = .937, supporting the three factor structure.
