About this Assignment
In this assignment, you will upload your unique IAT sample data-set so that your teacher can use it to verify and recreate your calculations in subsequent activities.
This assignment is included in the Labs & Other Assignments portion of your grade. You have an unlimited number of attempts until the due date.
Avoid Frustration
Productive struggle is good. Frustration is not. So don't let your productive struggle devolve into frustration. If the directions below are unclear, use the discussion board at the bottom of this page to ask questions or provide feedback about any aspect of this assignment. Or, use the contact information on the homepage to contact me directly.
Open Your Unique IAT Sample in StatCrunch
Use the bulleted instructions below to open your unique data set in StatCrunch.
- If you are not signed in on StatCrunch, open StatCrunch and sign-in (directions - opens in new tab).
- Under the Data section on the homepage, click on My Data.
- A new tab, My Data sets, is now open. You should see your IAT sample data set (although you may need to scroll or search to find it).
- Click on your IAT sample data set to open it in StatCrunch.
Submit Your Personal Data Set
To upload your unique sample data set in this assignment, please follow the numbered steps below.
Step 1
From the spreadsheet view of your sample data, click on Data and select Export.
Step 2
The Export to computer window is now open. Select Export.
A .csv file will download to your computer. It will likely land in your computer’s download folder. Follow the directions in Step 3 below to upload the .csv file (i.e. your unique sample IAT data file).
Step 3
Upload your .csv file and submit this assignment. To upload your .csv file and submit this assignment follow these directions (opens in a new tab so that you can toggle between this assignment and the directions).
Project Implicit & IAT Data Sets Discussion Board
Use this discussion board (opens in a new tab) to ask questions or provide feedback about any items in the Project Implicit & Data Sets module.