Tedlapu Narayana Rao, Dr. Uppu Venkata Subbarao, Prof. S. Rajani
{"title":"Statistical Analysis of Factors Influencing Stress and Resilience in High School Students in Visakhapatnam Region","authors":"Tedlapu Narayana Rao, Dr. Uppu Venkata Subbarao, Prof. S. Rajani","doi":"10.22214/ijraset.2024.63618","DOIUrl":null,"url":null,"abstract":"Abstract: This paper investigates the factors influencing stress and resilience among high school students. We employed a binary logistic regression model to assess the relationship between independent variables (academic workload, family support, extracurricular activities, peer relationships, etc.) and dependent variables (stress and resilience). A diverse sample of 85 high school students (grades 10-12) from various schools in the region of Visakhapatnam was collected by using stratified random sampling. In this sample, using the proportional allocation technique, 37 are from grade 10, and 48 are from grade 11 and 12. Data was collected through a questionnaire, and binary logistic regression was fitted using the statistical software package SPSS and gave valid conclusions and recommendations.","PeriodicalId":13718,"journal":{"name":"International Journal for Research in Applied Science and Engineering Technology","volume":"9 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Research in Applied Science and Engineering Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22214/ijraset.2024.63618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: This paper investigates the factors influencing stress and resilience among high school students. We employed a binary logistic regression model to assess the relationship between independent variables (academic workload, family support, extracurricular activities, peer relationships, etc.) and dependent variables (stress and resilience). A diverse sample of 85 high school students (grades 10-12) from various schools in the region of Visakhapatnam was collected by using stratified random sampling. In this sample, using the proportional allocation technique, 37 are from grade 10, and 48 are from grade 11 and 12. Data was collected through a questionnaire, and binary logistic regression was fitted using the statistical software package SPSS and gave valid conclusions and recommendations.