<![CDATA[Educational evaluation is a crucial process for measuring the effectiveness of learning; however, the data obtained is often not analyzed optimally due to a limited understanding of appropriate analytical techniques. This study aims to conduct an in-depth examination of the technical procedures for analyzing evaluation data, both numerical (quantitative) and narrative (qualitative). The method used is a literature review by examining textbooks and national and international journal articles published between 2017 and 2025. The results of the study indicate that a comprehensive evaluation requires the integration of statistical analysis techniques to test the validity, reliability, and discriminant power of test instruments, as well as qualitative analysis using an interactive model to understand the meaning behind non-test data. A combination of both approaches (mixed methods) is recommended to provide a complete picture of student competencies and the quality of educational programs.]]>
Copyrights © 2026
