DEEP Software



How it works





Add DEEP to your survey


If you would like to use the python version of DEEP instead of the Qualtrics version, please see here.

Data analysis

Download your data

Qualtrics
  1. Click the "View Results" tab and view your survey.
  2. Click the "Download Data" button.
  3. Select CSV and download.

LimeSurvey
  1. Go to your survey. On the menu bar, click "Responses and Statistics" with the pie chart icon.
  2. Then, click the "Export results to application" on the menu with the database icon.
  3. For the format, select "CSV" (not "CSV with all answers part").
  4. Click "Export Data".

Converting data to an analyzable format

You'll see that all of the DEEP data is compacted into a single column. This is normal. Download one of the .zip files: Distributed_DEEPRisk_clean if you ran DEEPRisk, or Distributed_DEEPTime_clean if you ran DEEPTime. Follow the instructions in the .R file inside to run the script. It will convert the Qualtrics and Limesurvey data into a form analyzable by the package below, DEEPEst.  

Installing DEEPEst

Use the instructions below: 

Include gadget (iframe)



Analyzing your data

Follow the instructions here to analyze your data. 

Please remember that the DEEP license requires you to use cite the paper below for purposes of publication: Toubia, O., Johnson, E., Evgeniou, T., & Delquie, P. (2013) 'Dynamic experiments for estimating preferences: An adaptive method of eliciting time and risk parameters.' Management Science, 59(3), 613-640.

Getting help

Unfortunately, there is no tried-and-true method for diagnosing every problem you may run into with the estimation. We would recommend being in touch with someone with experience with rstan or MCMC methods as you do this work. If you need help implementing DEEP into your survey, email nathaniel@decisionsciences.columbia.edu with questions.

Subpages (1): Adding python deep to a survey
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Distributed_DEEPRisk_clean.zip
(15476k)
Nathaniel Posner,
May 12, 2020, 11:20 AM
v.1
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Distributed_DEEPTime_clean.zip
(13455k)
Nathaniel Posner,
Oct 27, 2020, 9:02 AM
v.1