Yogyakarta – The Laboratory of Educational Research and Evaluation (ERE Lab), in collaboration with the Master’s and Doctoral Programs in Educational Research and Evaluation (ERE) — both Regular and Distance Learning tracks — under the Graduate School of Universitas Negeri Yogyakarta (UNY), will present PEP Lab Series #7, focusing on statistical data analysis training using JAMOVI software. This program is designed to enhance participants’ ability to process and interpret data scientifically through a practical and applicable approach.

The training will be held online via Zoom on November 11, 14, and 18, 2025, from 7:00 p.m. until completion. The main speaker will be Dr. Ezi Apino, M.Pd., an expert from the ERE Lab, Graduate School of UNY.

Across three training sessions, participants will explore various statistical analysis techniques using JAMOVI, a free, powerful, and user-friendly statistical software increasingly utilized in academic research. The topics covered include:

Session 1 (November 11, 2025): T-Test, Correlation, and Regression

Session 2 (November 14, 2025): ANOVA and ANCOVA (One- & Two-Way)

Session 3 (November 18, 2025): MANOVA and MANCOVA (One- & Two-Way)

For an investment of IDR 100,000, participants will receive several benefits, including Zoom recordings (upon request), a 12-credit-hour e-certificate, free JAMOVI installation, training materials, and the opportunity to enhance their data analysis skills through direct expert guidance.

This event is open to the public, welcoming students, researchers, and practitioners who wish to strengthen their statistical data analysis skills without relying on complex paid software.

Registration is open until November 10, 2025, via the official link: https://uny.id/LabPEP7

Through this initiative, the ERE Lab, together with the Master’s and Doctoral Programs in Educational Research and Evaluation, aims to contribute to the advancement of academic and professional competencies in educational data analysis — aligning with UNY’s commitment to fostering innovative, research-driven, and technology-based learning.