Post-experiment feedback based on all data - can it be done?

Online experiments Pavlovia Surveys
, ,
1

I would like to collect participant responses (online) and - at the end of the experiment, not trial-by-trial - give feedback based on the total data collected. Is this possible in Pavlovia / PsychoPy?

To give a few more specifics I am imagining

  • asking participants to respond to some survey questions
  • from these questions calculating a total score (e.g. on a 0 - 100 scale)
  • upon completion, telling participants something about their score in the context of the total sample of respondents so far (i.e. live updating this as more responses are collected)
  • so the feedback would be something like “You scored 56 out of 100. This is higher than 36% of the sample population, where scores varied between a low score of 34 and high score of 87”, where 36%, 34 and 87 would be recalculated with each additional participant

I know that Pavlovia experiments save data to a gitlab repo. Presumably I could ask PsychoPy to scrape the CSV files and so calculate the statistics for the feedback that way. Is that likely to work? Or would there be an easier way?

2

Hi, would this example here work for your task? Using the Shelf for Multi-session testing, Counterbalancing and more online — PsychoPy v2023.2.3

3

Yes, thanks! I’d completely forgotten about the shelf. Doh!