Unmasking Sleep Deprivation: Investigating Influencing Factors Among Sulu State College's Senior High Students

This study employed a quantitative research design to investigate the correlates of sleep deprivation within a stratified sample of senior high school students at Sulu State College. Utilizing quota sampling, data were collected from 30 participants, allocated proportionally across academic strands (n=15 per strand). Statistical analysis, comprising descriptive statistics (frequency distributions and percentages), inferential statistics (independent samples t-tests and one-way analysis of variance), and the calculation of weighted means, was conducted. The results did not demonstrate a statistically significant relationship between sleep deprivation and the demographic variables of gender, age, or academic strand. Therefore, the null hypothesis of no significant difference in sleep deprivation across these demographic groups was not rejected. These findings suggest that within this specific population, gender, age, and academic program are not significant predictors of self-reported sleep deprivation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-23
DOI
https://doi.org/10.5281/zenodo.15798583
Primary Topic
American Environmental and Regional History
Type
article
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article

Unmasking Sleep Deprivation: Investigating Influencing Factors Among Sulu State College's Senior High Students

Zenodo (CERN European Organization for Nuclear Research)
American Environmental and Regional History
article

Unmasking Sleep Deprivation: Investigating Influencing Factors Among Sulu State College's Senior High Students

article en

Abstract

This study employed a quantitative research design to investigate the correlates of sleep deprivation within a stratified sample of senior high school students at Sulu State College. Utilizing quota sampling, data were collected from 30 participants, allocated proportionally across academic strands (n=15 per strand). Statistical analysis, comprising descriptive statistics (frequency distributions and percentages), inferential statistics (independent samples t-tests and one-way analysis of variance), and the calculation of weighted means, was conducted. The results did not demonstrate a statistically significant relationship between sleep deprivation and the demographic variables of gender, age, or academic strand. Therefore, the null hypothesis of no significant difference in sleep deprivation across these demographic groups was not rejected. These findings suggest that within this specific population, gender, age, and academic program are not significant predictors of self-reported sleep deprivation.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 44%
American Environmental and Regional History
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