Survey-software implicit association tests: A methodological and empirical analysis

Springer Science and Business Media LLC - Tập 51 - Trang 2194-2208 - 2019
Thomas P. Carpenter1, Ruth Pogacar2, Chris Pullig3, Michal Kouril4,5, Stephen Aguilar6, Jordan LaBouff7, Naomi Isenberg1, Alek Chakroff8
1Seattle Pacific University, Seattle, USA
2University of Calgary, Calgary, Canada
3Baylor University, Waco, USA
4Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
5University of Cincinnati College of Medicine, Cincinnati, USA
6University of Southern California, Los Angeles, USA
7University of Maine, Orono, USA
8Harvard University, Cambridge, USA

Tóm tắt

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) revealed good psychometric properties, expected IAT effects, and expected correlations with explicit measures for survey-software IATs. Study 2 (MTurk n = 818) showed predicted IAT effects across four survey-software IATs (ds = 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 that would be expected for identical IATs. Survey-software IATs appear to be reliable and valid, offer numerous advantages, and make IATs accessible for researchers who use survey software to conduct online research. We present all the materials, links to tutorials, and an open-source tool that rapidly automates survey-software IAT construction and analysis.

Tài liệu tham khảo

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