I created the following Data Science Tutorials to help students learn how to use Qualtrics to create surveys and perform basic data analysis, as well as launch these surveys using Amazon's Mechanical Turk service.
Tutorial 1: Qualtrics basics (click to download)
This tutorial will help you learn how to:
Tutorial 2: Qualtrics logic and experiments (click to download)
This tutorial will help you learn how to:
Tutorial 3: Launching a survey using Amazon Mechanical Turk (click to download)
This tutorial will help you learn how to:
Tutorial 4: Reporting basic survey results with Qualtrics (click to download)
This tutorial will help you learn how to:
Tutorial 5: Scraping reviews using import.io (click to download)
This tutorial will help you learn how to:
The Data Science Tutorials are an ongoing project. As such, any feedback, comments, or suggestions would be greatly appreciated. If you have any of these, please send me an email!
Tutorial 1: Qualtrics basics (click to download)
This tutorial will help you learn how to:
- Structure a survey
- Create a Qualtrics account and familiarize yourself with its environment
- Initialize your survey
- Set up the survey's block structure
- Add survey items: Breaks, text input, number input, pictures, multiple choice questions, scales, semantic differentials, rating and ranking questions, and constant sums.
Tutorial 2: Qualtrics logic and experiments (click to download)
This tutorial will help you learn how to:
- Understanding why Logic is added to Qualtrics questions
- Filtering respondents
- Redirecting respondents
- Randomizing items within a question
- Develop A/B tests on Qualtrics
Tutorial 3: Launching a survey using Amazon Mechanical Turk (click to download)
This tutorial will help you learn how to:
- Learn what key questions must be asked to MTurk respondents
- Set up an MTurk account and familiarize yourself with its environment
- Creating your HIT (i.e., your survey project)
- Managing your HIT and compensating respondents
Tutorial 4: Reporting basic survey results with Qualtrics (click to download)
This tutorial will help you learn how to:
- Clean up your sample so your reports contain only valid responses
- Generating Qualtrics reports and familiarizing yourself with their environment
- Analyzing one question at a time (univariate analysis)
- Analyzing two questions at a time (bivariate analysis)
- Analyzing A/B test results
- Applying Filters
Tutorial 5: Scraping reviews using import.io (click to download)
This tutorial will help you learn how to:
- Systematically gather website URLs
- Use import.io to gather (scrape) Amazon review data
- Understand the data structure arising from the scraping process
- Clean the scraped data for analysis
The Data Science Tutorials are an ongoing project. As such, any feedback, comments, or suggestions would be greatly appreciated. If you have any of these, please send me an email!