Reproducibility - Preserving Survey Data
Here we will demonstrate how to preserve raw survey data and also how to handle confidential data. We will do so with data from a survey that you all will provide responses to. Some of the questions are meant to elicit “confidential” information from you as responses. You should not give your actual confidential information in response to these questions. We will use these questions as way to teach how to preserve data when some data are confidential.
These are the results from all responses ever submitted. This might differ from the presentation!
| gender | Frequency | Percent |
|---|---|---|
| Male | 5 | 50 |
| Female | 5 | 50 |
| education | Frequency | Percent |
|---|---|---|
| Secondary or less | 1 | 10 |
| Master’s degree | 5 | 50 |
| Professional or doctoral degree | 4 | 40 |
Age
| Statistic | Value |
|---|---|
| Count | 9.00 |
| Mean | 34.11 |
| Median | 30.00 |
| Min | 25.00 |
| Max | 62.00 |
| Std. Dev. | 11.94 |
Number of tabs open
| Statistic | Value |
|---|---|
| Count | 10.00 |
| Mean | 15.80 |
| Median | 16.00 |
| Min | 2.00 |
| Max | 27.00 |
| Std. Dev. | 9.19 |
For more information and steps on how to start creating a survey in Qualtrics, how to process and clean the data to remove confidential data, see this presentation.
- This document’s source: https://github.com/labordynamicsinstitute/tutorial-preserving-survey
- Licensed under
# Now save the data to a local file
if (nrow(data) > 0) {
write_csv(data, here::here("data", "tutorial-survey.csv"))
saveRDS(data, here::here("data", "tutorial-survey.rds"))
} else {
# message("No data to save.")
}