R2 CHAP 3 Research Paper PDF

A Research Paper Presented to The Faculty of Senior High School Department Naga College Foundation Inc. Naga City In Partial Fulfilment of the Requirements in Research Project Abawag, Joelly Arnedo, Richelle Ann Belleza, Glaiza Mae Delos Santos, Mark Delvalle, Angelo Infante, Shane Gabrie...

A Research Paper Presented to The Faculty of Senior High School Department Naga College Foundation Inc. Naga City In Partial Fulfilment of the Requirements in Research Project Abawag, Joelly Arnedo, Richelle Ann Belleza, Glaiza Mae Delos Santos, Mark Delvalle, Angelo Infante, Shane Gabriel Lavapie, Sophia Lettice Perez, Miccaella Ruelo, Gian Francine Tinquico, Jamela Grade 12 - Alitheia Humanities and Social Science (HUMMS) **Methods used** This is a quantitative research study. Researchers of this study will be using Correlational research as a research design to determine the relationship between weather conditions and attendance patterns of a student. Correlational research design is a type of research design in which it identifies the relationship between the two variables (Pritha Bhandari, 2023). By the use of Correlational research, the researchers will be able to have good comprehension of the data and will be useful in determining the difference of attendance patterns of the Grade 12-Eonia students in certain weather conditions, the general average of the number of school days of the students in the first semester during the academic year of 2023-2024, and the relationship between weather conditions and attendance patterns. **Population and Sampling** This study\'s Target population is the Grade 12 HUMSS strand of Naga College Foundation, Inc. during the academic year 2024-2025. Since 125 Grade 12 students are enrolled in the HUMMS strand of Naga College Foundation, Inc. for the Academic Year 2024-2025, the researchers will use Slovin's formula to determine the needed sample size. Computing the sample size using Slovin's Formula, this study will get 95 Grade 12 HUMSS students as respondents of this study. **Procedure of investigation** The target participants are the senior highschool Grade 12-Eonia of the Humanities and Social Sciences strand from Naga College Foundation, Inc. The data and information needed were gathered using a structured interview as the main instrument. The researchers first developed close-ended questionnaires regarding the lived experiences of students connected to weather conditions and class attendance. The Researchers will be using stratified sampling technique **Data Gathering tools** To determine the average attendance patterns, Tardiness, and the Relationship between Weather Condition and Attendance Patterns among Grade 12 Humanities and Social Science (HUMSS) students at Naga College Foundation, Inc., the researchers ot this study used a structured survey questionnaire to collect needed data of this study. The researchers engaged in a close-ended questionnaire which provided respondents with a limited set of answers or options to choose from. It encourages the students to talk about their struggles they faced. **Statistical Tools** Researchers used weighted mean and Pearson's Correlation Coefficient to get the data needed for this study and to determine the Relationship between Weather Condition and Attendance Patterns among Grade 12 Humanities and Social Sciences (HUMSS) Students. **Means.** The statistical tool the researchers will use in order to determine the mean of the Weather Conditions and Attendance Patterns among Grade 12 HUMSS students is Mean. According to Akhilesh Ganti (2024), Weighted mean can provide a more accurate representation of data when different values within a dataset hold varying degrees of importance. This tool is considered as the most effective tool in finding the difference between the variables. **Pearson's Correlation Coefficient.** To determine the relationship between weather condition and attendance pattern, researchers will use Pearson\'s Correlation Coefficient as a statistical tool. According to Shaun Turney (2024), it describes the strength and direction of the linear relationship between two quantitative variables.