Statistical Poster

This is a statistical investigation that translated complex data on digital stressors into a clear, compelling narrative, revealing their compounded impact on adolescent mental health. We synthesized and interpreted 300 data points, applied multiple statistical models (Pearson correlation, multiple linear regression), and created 4 key graphs for an academic poster. The core challenge is transforming abstract statistical outputs (like correlation coefficients and R-squared values) into a coherent and actionable story about teen psychology in the digital age.

A key finding revealed a strong correlation between cyberbullying and information overload (r = 0.73). Rather than treating them as separate issues, I framed this as evidence of a toxic digital ecosystem where these stressors mutually reinforce each other.

Beyond presenting data, I structured the narrative to build a compelling argument: starting with correlation analysis, progressing to predictive modeling, and culminating in an integrated model showing that 98.5% of depression score variance was explained by both factors combined. This approach transformed our findings into a call for comprehensive solutions that address the entire digital environment rather than isolated aspects.