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2021-01-22 09:52:16
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IT & Software Other IT & Software Design of Experiments (DOE)

Learn Experiment Development with oTree

From beginner to intermediate
Hot & New
Rating: 4.7 out of 54.7 (4 ratings)
23 students
Created by Jonas Frey
Last updated 3/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Developing single and multiplayer experiments
  • Deploying experiments on a server

Requirements

  • Basic konwledge of Python

Description

What is oTree?

oTree is a framework to develop social science experiments which can be used both online an in the laboratory.

Why learn oTree?

oTree is a flexible framework that uses Python in the background and HTML/CSS to for the user interface. Because of this flexibility oTree is a one size fits all solution to social science experiments. Once you have mastered oTree you don't need to use any other experimental software again. Moreover, Python is rapidly gaining popularity in data science so you can use the same programming language to design your experiments and to analyse your data.

Why this course?

Because oTree is so flexible it can be challenging to get started with oTree. This course is designed to solve this problem by providing a step-by-step introduction into oTree that covers everything from installing oTree on your computer to developing experiments with complex oTree functionality such as LivePages.

What is covered in this course?

  • Installing oTree

  • Overview over oTree

  • Developing a simple survey experiment

  • Experiments with multiple rounds

  • Multiplayer experiments

  • Overview over the oTree template language

  • User interface design with HTML and CSS

  • Randomising the question order

  • Experiments with multiple treatments

  • Responsive pages - Using JavaScript with oTree

  • Debugging oTree experiments

  • Deploying the experiment to a Heroku server

What are the prerequisites for this course?

The course requires basic knowledge of Python. If you have never worked with Python before, check out one of the many free Python courses on Udemy.

Who is the target Audience for this course?

This course is targeted at academics, who do experimental economics or another experimental social science. It is suitable both for students and faculty.


Who this course is for:

  • Experimental Researchers in Economics and other Social Sciences

Course content

6 sections • 16 lectures • 4h 41m total length

  • Preview08:04
  • Preview28:09

  • Preview14:22
  • Preview25:33
  • Understanding the oTree Template Language
    21:18
  • Randomising the Question Order
    13:21
  • Experiments with Multiple Treatments - Balanced Randomisation
    20:00

  • Preview24:46
  • Styling Experiments with HTML and CSS
    10:26
  • Responsive Pages - oTree with JavaScript
    12:31
  • Preview41:39
  • Preview22:32

  • Debugging and Error Messages
    07:20
  • Preview18:19

  • Introduction to a new style of oTree code
    08:44

  • Preview04:23

Instructor

Jonas Frey
oTree Developer
Jonas Frey
  • 4.7 Instructor Rating
  • 4 Reviews
  • 23 Students
  • 1 Course

I am a PhD candidate in finance at the University of Oxford. I hold a bachelor's degree in business administration and a master's degree in banking & finance both from the University of St. Gallen.

I have extensive experience in developing oTree experiments, and I have taught workshops on oTree development for PhD students and faculty at various universities.

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