Transformasi Kompetensi Analisis Data Kuantitatif Melalui Pelatihan JASP dan Pemanfaatan Artificial Intelligence Bagi Peneliti Pemula

Abstract

Quantitative data analysis is an essential competency for novice researchers to produce valid and evidence-based research. This community engagement activity aimed to improve participants’ ability to conduct quantitative data analysis through JASP training and the utilization of Artificial Intelligence (AI). The activity employed a practice-based training method involving 21 lecturers from Universitas Muhammadiyah Mataram representing various faculties and functional positions, including teaching staff, assistant professors, and lecturers. Evaluation was conducted using a seven-item Likert-scale questionnaire to assess participants’ perceptions and competency improvement following the training. The results indicated a positive response to the JASP training and AI utilization in supporting participants’ quantitative data analysis competencies. The mean response score was 83.19, with individual indicators ranging from 78.82 to 89.41. Understanding the procedures for conducting correlation analysis using JASP achieved the highest score of 89.41, while participants’ confidence in using JASP reached 85.88. These findings demonstrate that practice-based training can effectively support the development of participants’ quantitative data analysis skills and confidence in conducting research independently.