Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/yelper/r-nba-survey-results
The results of the /r/nba Survey on Online Community
https://github.com/yelper/r-nba-survey-results
Last synced: 7 days ago
JSON representation
The results of the /r/nba Survey on Online Community
- Host: GitHub
- URL: https://github.com/yelper/r-nba-survey-results
- Owner: yelper
- License: mit
- Created: 2016-01-19T23:21:14.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2016-01-28T23:18:23.000Z (almost 9 years ago)
- Last Synced: 2023-04-01T03:28:50.652Z (over 1 year ago)
- Language: JavaScript
- Size: 291 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# /r/nba Survey on Online Community
This repo contains the files necessary to display the results for the /r/nba Survey on Online Community, [administered in late 2015 to subreddit participants](https://www.reddit.com/r/nba/comments/3tuvh6/help_me_understand_online_communication_in_rnba/). 731 participants responded with answers to questions on five different scales.
Two independent variables collected from each respondent (in a between-subjects survey design) were talking about basketball with people in real-life (at least once a week) and being a part of other online communities (e.g. social media, gaming, forums). There was an uneven skew toward talking about basketball in daily life (668 yes to 63 no). Regardless, significant results in the two-way ANOVA were found, and are detailed at the bottom of the results webpage (`index.html`).
This survey was administered to complete the requirements for the survey and data analysis assignments for CS 770 (Research Methods in HCI) at the University of Wisconsin-Madison in Fall 2015.
### Demo
The results are live on my homepage: http://pages.cs.wisc.edu/~sarikaya/personal/bball-survey.
### Building
The JavaScript code is written in TypeScript and files are included to build the `.ts` file with [Visual Studio Code](https://code.visualstudio.com/). To build the code, clone this repository, open the folder in VSC, make your edits to `app.ts`, press CTRL+SHIFT+B to build the code into JavaScript. Navigate to `index.html` from a booted webserver (e.g. `python -m SimpleHTTPServer`).
### Credits
* [/r/nba](http://reddit.com/r/nba) for the small team icons (images and CSS)
* [Bootstrap](http://getbootstrap.com) for the UI components
* [D3.js](http://d3js.org) for the data visualization
* [TypeScript](http://www.typescriptlang.org/) for finally making JavaScript type-safe