COMPETENCY-BASED SELF-LEARNING MODULE ON STATISTICS IN RESEARCH FOR GRADE 8- SPECIAL SCIENCE CLASS
Abstract
This study developed a Competency-based Self-Learning Module on Statistics in Research for Grade 8- Special Science Class. This study aimed to develop and validate self-learning modules on Statistics in Research. Specifically, it sought answers to the following questions: 1) what are the least mastered competencies of students on Statistics in Research; 2) what self-learning modules are to be developed based on the least mastered competencies of the students; 3) what is the level of validity of the developed self-learning module on Statistics in Research in terms of content, format, presentation and organization, accuracy and up-to-datedness of information; 4) what is the level of readability of the developed self-learning module on Statistics in Research. A descriptivedevelopment design was employed. The researcher used a validated instrument. The study found out the following: The least-mastered competencies of students who took the Statistics in Research for S.Y. 2020-2021 are Perform various tests about some parameters, construct ANOVA tables, perform F test based on the ANOVA table, and compute Pearson’s coefficient of correlation. Moreover, there are 10 modules with 19 learning competencies. Also, the level of validity of the developed Self-learning module is very satisfactory and is within the reading level of the Grade 8.