Implementing multiple implicit association tests in Qualtrics: A guide and demonstration using balanced identity design theory
Alyssa Ream, Anna Woodcock, Sarah Zlatkovic, Rachelle M. Pedersen, Ashley Bonilla, Hannah Middleton, Paul R. Hernandez, P. Wesley Schultz · 2026
Read Implementing multiple implicit association tests in Qualtrics: A guide and demonstration using balanced identity design theory by Alyssa Ream, Anna Woodcock, Sarah Zlatkovic, Rachelle M. Pedersen, Ashley Bonilla, Hannah Middleton, Paul R. Hernandez, P. Wesley Schultz (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13221368.txt.
Description
Alyssa Ream and co-authors provide a 2026 tutorial for running several Implicit Association Tests inside one Qualtrics survey. Such tests measure hidden attitudes and identities by timing how people sort concepts. Earlier guidance showed how to build a single test on the platform, leaving multi-test studies without a recipe.
Step-by-step instructions, templates, and data-processing code walk readers through planning, building, and presenting multiple tests in a single survey. A demonstration study applies the method to racial identity, science identity, and their overlap in one sitting. The guide lowers the technical barrier for researchers whose questions need several implicit measures at once.
Catalog record
| CREATOR | Alyssa Ream, Anna Woodcock, Sarah Zlatkovic, Rachelle M. Pedersen, Ashley Bonilla, Hannah Middleton, Paul R. Hernandez, P. Wesley Schultz |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |