Statistics Research Paper Example PDF
Introduction
Statistics research papers examine data through collecting, organizing, analyzing, and presenting data to evaluate claims and support arguments. This article will provide an example statistics research paper in PDF format on the topic of social media usage among college students. The paper analyzes survey data on college students’ time spent on various social media platforms and examines relationships between social media usage and other factors like GPA, extracurricular activities, and sleep habits.
The paper follows a standard structure for a statistics research paper, including an introduction outlining the topic and aims of the study, literature review summarizing prior work, methodology describing how data was collected and analyzed, results section presenting analysis findings, and discussion/conclusion sections interpreting results and discussing implications. Let’s take a look at each section of the example statistics research paper.
Literature Review
Prior research has found social media can both positively and negatively impact college students’ academic performance and well-being. Studies show social media allows students to stay connected with peers (Ellison et al., 2007) and potentially form social capital beneficial for college success (Manago et al., 2012). Excessive social media usage has also been linked to poorer mental health outcomes in college populations (Rosen et al., 2013). Specifically concerning academics, a few studies have found an inverse relationship between time spent on social media and GPA (Pempek et al., 2009; Kirschner & Karpinski, 2010).
A key limitation of prior work is the lack of exploration into relationships between specific social media platforms and outcomes. Most studies have examined social media as a single variable rather than differentiate time spent on platforms like Facebook, Instagram, Snapchat, etc. Given platforms vary in how they are typically used, relationships with academic performance and well-being may differ between them. The current study aims to address this gap by analyzing connections between time spent on individual social media and students’ GPA, extracurricular involvement, and sleep habits.
Methodology
Participants
The sample included 186 undergraduate students from a large public university recruited through the Department of Psychology research participant pool. The mean age was 20.2 years (SD = 1.4) and 66.1% identified as female.
Materials and Procedure
An online survey measured time spent per week on Facebook, Instagram, Snapchat, Twitter, YouTube, and other social media. It also included questions on GPA, involvement in extracurriculars (number of activities/clubs), and average hours of sleep per night.
Results were analyzed using SPSS statistical software. Descriptive statistics characterized sample demographics and social media usage. Pearson correlations examined associations between individual platform usage and outcomes. Multiple regression further assessed whether certain social media predicted GPA, extracurriculars, and sleep while controlling for other factors.
Results
Descriptive Statistics
On average, participants spent most time on YouTube (M=10.34 hours), followed by Facebook (M=8.61 hours), Instagram (M=5.72 hours), and Snapchat (M=4.22 hours). Other platforms had lower usage. GPA average was 3.27. Students participated in an average of 2.04 extracurricular activities and slept 6.87 hours nightly.
Bivariate Correlations
Higher Snapchat usage correlated with lower GPA (r=-0.152, p<0.05) and fewer hours of sleep (r=-0.189, p<0.01). Greater Facebook time related to more involvement in extracurriculars (r=0.137, p<0.05). Other platforms showed no significant relationships.
Regression Analyses
A regression showed Snapchat remained a significant negative predictor of GPA (β=-0.165, p<0.05) and sleep (β=-0.199, p<0.01) after controlling for gender, year, and usage of other platforms. Facebook maintained its positive association with extracurricular involvement (β=0.141, p<0.05) in the respective regression model as well.
Discussion and Conclusion
The current study found college students spend the most time on YouTube for entertainment and learning purposes. Consistent with hypotheses, greater Snapchat usage correlated with poorer academic performance as measured by GPA as well as less sleep. As Snapchat focuses more on ephemeral sharing between close social networks, its distracting features may interfere more with academics and healthy sleep behavior compared to platforms emphasizing broadcasting to larger, more passive networks.
Andrew Stroud