By guest blogger Jesse Singal
It has been a long and bumpy road for the implicit association test (IAT), the reaction-time-based psychological instrument whose co-creators, Mahzarin Banaji and Anthony Greenwald — among others in their orbit — claimed measures test-takers’ levels of unconscious social biases and their propensity to act in a biased and discriminatory manner, be that via racism, sexism, ageism, or some other category, depending on the context. The test’s advocates claimed this was a revelatory development, not least because the IAT supposedly measures aspects of an individual’s bias even beyond what that individual was consciously aware of themselves.
As I explained in a lengthy feature published on New York Magazine’s website last year, many doubts have emerged about these claims, ranging from the question of what the IAT is really measuring (as in, can a reaction-time difference measured in milliseconds really be considered, on its face, evidence of real-world-relevant bias?) to the algorithms used to generate scores to, perhaps most importantly (given that the IAT has become a mainstay of a wide variety of diversity training and educational programmes), whether the test really does predict real-world behaviour.
On that last key point, there is surprising agreement. In 2015 Greenwald, Banaji, and their coauthor Brian Nosek stated that the psychometric issues associated with various IATs “render them problematic to use to classify persons as likely to engage in discrimination”. Indeed, these days IAT evangelist and critic alike mostly agree that the test is too noisy to usefully and accurately gauge people’s likelihood of engaging in discrimination — a finding supported by a series of meta-analyses showing unimpressive correlations between IAT scores and behavioral outcomes (mostly in labs). Race IAT scores appear to account for only about 1 per cent of the variance in measured behavioural outcomes, reports an important meta-analysis available in preprint, co-authored by Nosek. (That meta-analysis also looked at IAT-based interventions, finding that while implicit bias as measured by the IAT “is malleable… changing implicit bias does not necessarily lead to changes in explicit bias or behavior.”)
So where does this leave the IAT? In a new paper in Current Directions in Psychological Science called “The IAT Is Dead, Long Live The Iat: Context-Sensitive Measures of Implicit Attitudes Are Indispensable to Social and Political Psychology”, John Jost, a social psychologist at New York University and a leading IAT researcher, seeks to draw a clear line between the “dead” diagnostic-version of the IAT, and what he sees as the test’s real-world version – a sensitive, context-specific measure that shouldn’t be used for diagnostic purposes, but which has potential in various research and educational contexts.
Does this represent a constructive manifesto for the future of this controversial psychological tool? Unfortunately, I don’t think it does – rather, it contains many confusions, false claims, and strawman arguments (as well as a misrepresentation of my own work). Perhaps most frustrating, Jost joins a lengthening line of IAT researchers who, when faced with the fact that the IAT appears to have been overhyped for a long time by its creators, most enthusiastic proponents, and by journalists, responds with an endless variety of counterclaims that don’t quite address the core issue itself, or which pretend those initial claims were never made in the first place.