Thesis College of Science University of Rizal System-Morong 2024

The study aimed to know the sleeping patterns and school performance of Junior High School students. This was conducted during the year 2023-2024, while the subjects of the study were two hundred (200) students purposely selected from Morong National High School from grade 7 to grade 10. The study used a descriptive research design. The data was gathered, tabulated, and interpreted using frequency, percentage, and rank distribution as the statistical treatments to determine the profile of respondents in terms of sex, age, grade level, monthly family income and parental status. Mean was used to determine sleeping patterns and school performance of junior high school students. One-Way Analysis of Variance (ANOVA) was used to determine the significant difference of the given aspects in terms of their profiles, and Pearson-r was used to determine the significant relationship of sleeping patterns and school performance of junior high school students. Based from the summary of findings, the following conclusions are drawn. Sleeping patterns of junior high school students are not affected by their personal information due to the fact that every individual is significantly different from each other. Age, grade level, monthly family income, and parental status are contributory to the school performance of junior high school students, which may be because family status affects their school activities. There is a little correlation between sleeping patterns and school performance due to the fact that students are capable to do well in school whatever sleeping patterns they have. With the tabulated data and conclusions as the bases of the study, it recommends that schools and parents can work together to help promote better sleep practices among students. The school may conduct seminars on the relationship between sleeping patterns and academic performance, which will be an effective way to educate students, parents, and educators. Parallel studies may also be conducted considering other variables.