https://github.com/schluppeck/example_qualtrics_data

example showing how to read qualtrics data into r/tidyverse and do some basic processing
https://github.com/schluppeck/example_qualtrics_data

Last synced: about 1 month ago
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example showing how to read qualtrics data into r/tidyverse and do some basic processing

• Host: GitHub
• URL: https://github.com/schluppeck/example_qualtrics_data
• Owner: schluppeck
• License: mit
• Created: 2024-11-12T11:15:44.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-12T11:21:58.000Z (about 2 months ago)
• Last Synced: 2024-11-12T12:25:34.327Z (about 2 months ago)
• Language: R
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md
  • License: LICENSE

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README

        
# Some notes for a basic `R` analysis

ds 2024-02-23 - started

- link to qualtrics 

- this code and sample survey data shows you some pointers on how to get off the ground with `RStudio` and `R` with the survey data.

## Ideas for descriptive stats

- bar plots (eg gender distribution), histograms (ages), ...

- boxplots - showing range, interquartiles, etc.

- scatter plots (one score versus another)

To show what the actual data / responses look like.

Have a look at [`example_analysis.R`](./example_analysis.R) to get a sense of what's involved... I will update comments, improve docs, as we go along.

## Links

- RStudio – for data analysis (very useful, not a must)

- RStudio is an environment for using “R”, which is a multipurpose programming language (don’t be scared by that general idea!) for dealing with data, doing stats, datascience, making beautiful plots.

[link to download](https://posit.co/download/rstudio-desktop/). As of 2024/25 it is installed in the computer labs in Psych, so maybe have a play there first, although download and install is pretty easy.

- R for Data Science (R4DS) https://r4ds.had.co.nz/ - really excellent free book with some tutorial content tha allow you to work through some examples. Well worth the effort to go through first couple of chapters.

- R data science tutorials- [A youtube playlist](https://youtube.com/playlist?list=PL3x6DOfs2NGglHEO3WBEaxiEZ0_ZiwZJi&si=2JseXRlFCumJ4IRm) of a group of people working through the material – haven't gone through this myself, but looks like worth a go!