Welcome to the official repository for Felicity Thursdays, a semester-long media research study conducted between September and April. This dataset chronicles the weekly emotional responses of 5–7 undergraduates as they revisited a formative piece of late 90s television: Felicity (WB, 1998–2002).
📁 data/ └── felicity.xlsx # Raw weekly vote tallies (favorite, least favorite, hair opinions)
📁 assets/ └── style.css # CSS style sheet
felicity.Rmd # R Markdown analysis, knit into an HTML with an interactive UI
- How have Gen Z responded to Felicity, a show targeted at late 90s/early 2000s audiences?
- What psychosocial effects does Felicity’s S2 haircut have on viewers?
-
Participants 5–7 undergraduates (most unfamiliar with Felicity)
-
Sampling Frame Weekly screening from Sept–April
-
Instrumentation
- Post-episode Google Forms surveys
- Voting on:
- Favorite Character
- Most Hated Character (S2 onward)
- Hair Opinion (S2 onward)
-
Analysis Tools
- R (tidyverse, ggplot2, plotly, openxlsx)
Felicity Thursdays Research Team (2025). *A Longitudinal Analysis of Viewer Responses to Felicity (1998–2002). Unpublished undergraduate study. GitHub Repository: https://github.com/sonya-dee/felicity_thursdays_2024
This is a spoof research project conducted in the spirit of fun and semi-serious data collection. No IRB approval was sought or needed. Additionally, this was my first ever coding project, please be patient with the incredibly messy R-Markdown/JS/CSS formatting - this document should be knit using R-Markdown from R-Studio.