Main content
Survey-Software Implicit Association Tests: A Methodological and Empirical Analysis /
Survey-Software Implicit Association Tests: A Methodological and Empirical Analysis
- Tom Carpenter
- Ruth Pogacar
- Chris Pullig
- Michal Kouril
- Stephen J. Aguilar
- Jordan P. LaBouff
- Naomi Isenberg
- Aleksandr Chakroff
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: The Implicit Association Test (IAT) is widely used in psychology. Unfortunately, the IAT cannot be run within online surveys, requiring researchers who conduct online surveys to rely on third-party tools. We introduce a novel method for constructing IATs using online survey software (Qualtrics); we then empirically assess its validity. Study 1 (student n = 239) found good psychometric properties, expected IAT effects, and expected correlations with explicit measures for survey-software IATs. Study 2 (MTurk n = 818) found predicted IAT effects across four survey-software IATs (d’s = 0.82 [Black-White IAT] to 2.13 [insect-flower IAT]). Study 3 (MTurk n = 270) compared survey-software IATs and IATs run via Inquisit, yielding nearly identical results and intercorrelations expected for identical IATs. Survey-software IATs appear reliable and valid, offer numerous advantages, and make IATs accessible for researchers who use survey software to conduct online research. We present all materials, links to tutorials, and an open-source tool that rapidly automates survey-software IAT construction and analysis.