Exploratory Analysis of Anxiety in College Students

dc.contributor.authorEisinger, Jacken_US
dc.contributor.authorHooge, Kimen_US
dc.contributor.orgPsychologyen_US
dc.date.accessioned2025-05-09T19:38:34Zen_US
dc.date.available2025-05-09T19:38:34Zen_US
dc.date.issued2025en_US
dc.description.abstractMany established predictors of anxiety (e.g., socioeconomic status, sleep, loneliness) have been studied, yet research investigating how these factors interact with anxiety, specifically in the college student population, is sorely lacking. This exploratory study surveyed Rice University undergraduates on predictors typically shown to predict anxiety in non-college student populations, including social media use, gratitude, and self-efficacy, along with anxiety levels. Together, the predicting factors of neuroticism, problematic social media use, gender, general self-efficacy, and loneliness explained 43.3% of the variance in anxiety scores. Unexpectedly, alcohol/drug use, phone use before bed, and socioeconomic measures (parental income and education) did not correlate with anxiety. These findings can help universities understand how to ease the burden of anxiety that is particular to the college student experience. Future research endeavors will incorporate other validated measures and explore how demographic differences affect the relationship between anxiety and its predictors.en_US
dc.format.extent17 ppen_US
dc.identifier.digitalUT_Eisinger_2025en_US
dc.identifier.urihttps://hdl.handle.net/1911/118341en_US
dc.language.isoengen_US
dc.publisherRice Universityen_US
dc.rightsThis work is protected by copyright and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectAnxietyen_US
dc.subjectgratitudeen_US
dc.subjectlonelinessen_US
dc.subjectneuroticismen_US
dc.titleExploratory Analysis of Anxiety in College Studentsen_US
dc.typeThesisen_US
dc.type.dcmiTexten_US
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