Research Proposal: How Does Social Media Use Impact College Students’ Mental Health and Well-Being?
Introduction and Background
The use of social media among college students has grown exponentially in recent years. Platforms like Facebook, Instagram, Snapchat, and Twitter have become deeply ingrained in students’ daily lives and are often used multiple times per day. Researchers have raised concerns that excessive social media use may negatively impact students’ mental health and psychological well-being.
Previous studies have found associations between social media use and increased rates of depression, anxiety, loneliness, and FOMO (fear of missing out). Specifically, the constant exposure to curated highlights of peers’ lives on social media can lead to unhealthy social comparisons and negative feelings about one’s own life. Additionally, the platforms are designed to be addictive through mechanisms like push notifications, which may disrupt students’ ability to disconnect and be fully present in real life interactions and offline activities.
While these associations have been identified, more research is still needed to better understand the complex relationships between social media behaviors, mental health outcomes, and potential mediating/moderating factors. The purpose of this proposal is to design a quantitative research study that will add to the body of knowledge and provide insights to help college students and counseling centers. The proposed study aims to answer the following research questions:
Is there a relationship between the amount of time college students spend on social media platforms and their levels of depression, anxiety, loneliness, and life satisfaction?
Does the type of social media platform used (Facebook, Instagram, Snapchat, etc.) impact students’ mental health and well-being differently?
Does social comparison tendency moderate the relationship between social media use and mental health outcomes? That is, do students who are more prone to social comparisons experience greater negative impacts?
Do specific social media behaviors and types of engagements (liking/commenting posts vs scrolling passively) differentially influence mental health and well-being?
The proposed study will utilize a quantitative research design to collect data via an online survey from a sample of 500 undergraduate students at a large public university. Survey measures will assess variables including time spent on social media per day and specific platforms, social comparison tendency, specific social media behaviors, and standardized scales to measure depression, anxiety, loneliness, and life satisfaction levels. Regression analyses will be conducted to determine if significant relationships exist between social media variables and mental health outcomes after controlling for relevant demographic factors. Moderation analyses will also test the influence of social comparison tendency.
Findings from this study have the potential to provide novel insights into how different aspects of social media use differentially impact student mental health and well-being. This can help guide the development of targeted counseling interventions and resources. It may also inform platform designers on how features specifically influence user psychology. Overall, the study aims to expand understanding of the complex associations between social media and student mental wellness.
Research Methodology
Research Design
The study will employ a non-experimental quantitative research design using an online survey methodology. This approach is appropriate to efficiently collect a large dataset assessing relationships between key variables of interest related to social media behaviors and mental health outcomes.
Participants and Recruitment
The target population is undergraduate university students between the ages of 18-24 who actively use social media. A sample of approximately 500 participants will be recruited from a large public university in the Midwest region of the United States. The university has an undergraduate population of approximately 25,000 students, providing a large pool from which to recruit.
Participants will be recruited via classroom announcements and fliers posted around campus advertising an opportunity to participate in an anonymous online research study about social media and mental health. They will be instructed to follow a provided link to access the informed consent form and survey on a secure online platform like Qualtrics. As an incentive, participants who complete the full survey will have the option to enter a drawing for one of five $50 Amazon gift cards.
Measures
The online survey will include several established measures to operationalize key study variables:
Demographic questions: Age, gender, academic year/class standing, ethnicity, relationship status, living situation (on/off-campus)
Social Media Use: Questions developed for this study will assess platforms used (Facebook, Instagram, etc.), average daily time spent on each platform in minutes, and specific behaviors engaged in (liking/commenting vs passive scrolling).
Social Comparison-Upward subscale from the Iowa-Netherlands Comparison Orientation Measure (INCOM; Gibbons & Buunk, 1999): 11 items measured on a 5-point Likert scale to assess tendency to compare oneself to others who are doing better.
Patient Health Questionnaire-9 (PHQ-9; Kroenke et al., 2001): 9 items to measure depression symptom severity.
Generalized Anxiety Disorder-7 scale (GAD-7; Spitzer et al., 2006): 7 items to measure anxiety symptom severity.
UCLA Loneliness Scale (Russell, 1996): 20 items to assess subjective feelings of loneliness and social isolation.
Satisfaction With Life Scale (SWLS; Diener et al., 1985): 5 items measured on a 7-point Likert scale to assess global cognitive judgements of satisfaction with one’s life.
Data Collection and Analysis
Following IRB approval, the anonymous online survey will be distributed via the recruitment methods. All measures will be scored and analyzed using statistical software such as SPSS. Descriptive statistics will characterize the sample. Multiple linear regressions will examine relationships between social media use variables (including time spent, platforms, behaviors) and mental health outcomes. Moderation analyses will determine if social comparison tendency impacts these relationships. Findings will be summarized in both narrative and tabular form. Results will be submitted for publication in a peer-reviewed academic journal and presented at relevant conferences.
Potential Limitations and Ethical Considerations
This study has several limitations. First, the cross-sectional design does not allow for causal claims – only associations can be determined. Self-report bias is also a risk, as with any survey research. Generalizability may be limited by recruiting from a single university sample. Efforts will be made to obtain a demographically diverse sample.
Regarding ethical issues, all research protocols and materials will be submitted for IRB approval to ensure the ethical treatment of human subjects. Participation will be anonymous and voluntary, with informed consent required. Risks are considered minimal but the topic could potentially induce distress for some. Contact information for counseling services will be prominently displayed. Data will be securely stored and reported in aggregate form only to maintain participant confidentiality. Overall, the benefits of advancing scientific knowledge in this important area are believed to outweigh potential risks when conducting ethically-sound research.
Conclusion
This proposed research study aims to provide new empirical insights into the complex relationships between college students’ social media behaviors and mental health outcomes. The quantitative methodology has been designed to rigorously examine associations between variables and test moderation effects while minimizing limitations. Findings are expected to advance understanding of how different aspects of social media usage may differentially impact indicators of student mental wellness and well-being. This knowledge can guide targeted counseling interventions and inform platform designers on psychological implications. Overall, the study will help fill important gaps in the current literature around technology use and emerging adult mental health concerns. Approval to conduct this study would represent a valuable contribution to the literature.
Andrew Stroud