Project Implicit Dataverse

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 3 of 3 Results

Nosek, Banaji, & Greenwald (2002): Math = Male, Me = Female, therefore Math ^= Me Jan 20, 2009 - Brian Nosek Dataverse Brian Nosek, 2009, "Nosek, Banaji, & Greenwald (2002): Math = Male, Me = Female, therefore Math ^= Me", https://doi.org/10.7910/DVN/1PEUPZ, Harvard Dataverse, V1 We examined the role of group membership (being female or male), implicit identity with social groups (me=male/female), and math-gender stereotypes (math=male) in predicting implicit math attitudes (math=good) and math identity (math=me). In addition, we investigated the relationship between implicit and explicit preferences and SAT performance. Co...
Nosek & Smyth (2007): A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs. Jan 20, 2009 - Brian Nosek Dataverse Brian Nosek, 2009, "Nosek & Smyth (2007): A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs.", https://doi.org/10.7910/DVN/U7SVHN, Harvard Dataverse, V1 Recent theoretical and methodological innovations suggest a distinction between implicit and explicit evaluations. We applied Campbell and Fiske’s (1959) classic multitrait-multimethod design precepts to test the construct validity of implicit attitudes as measured by the Implicit Association Test (IAT). Participants (N = 287) were measured on both...
Nosek & Banaji (2001): The Go/No-Go Association Task Jan 20, 2009 - Brian Nosek Dataverse Brian Nosek, 2009, "Nosek & Banaji (2001): The Go/No-Go Association Task", https://doi.org/10.7910/DVN/NTNKZZ, Harvard Dataverse, V1 Theory is constrained by the quality and versatility of measurement tools. As such, the development of techniques for measurement is critical to the successful development of theory. This paper presents a technique — the Go/No-go Association Task (GNAT)—that joins a family of existing techniques for measuring implicit social cognition generally, wi...

Nosek, Banaji, & Greenwald (2002): Math = Male, Me = Female, therefore Math ^= Me

Jan 20, 2009 - Brian Nosek Dataverse

Brian Nosek, 2009, "Nosek, Banaji, & Greenwald (2002): Math = Male, Me = Female, therefore Math ^= Me", https://doi.org/10.7910/DVN/1PEUPZ, Harvard Dataverse, V1

We examined the role of group membership (being female or male), implicit identity with social groups (me=male/female), and math-gender stereotypes (math=male) in predicting implicit math attitudes (math=good) and math identity (math=me). In addition, we investigated the relationship between implicit and explicit preferences and SAT performance. Co...

Nosek & Smyth (2007): A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs.

Jan 20, 2009 - Brian Nosek Dataverse

Brian Nosek, 2009, "Nosek & Smyth (2007): A multitrait-multimethod validation of the Implicit Association Test: Implicit and explicit attitudes are related but distinct constructs.", https://doi.org/10.7910/DVN/U7SVHN, Harvard Dataverse, V1

Recent theoretical and methodological innovations suggest a distinction between implicit and explicit evaluations. We applied Campbell and Fiske’s (1959) classic multitrait-multimethod design precepts to test the construct validity of implicit attitudes as measured by the Implicit Association Test (IAT). Participants (N = 287) were measured on both...

Nosek & Banaji (2001): The Go/No-Go Association Task

Jan 20, 2009 - Brian Nosek Dataverse

Brian Nosek, 2009, "Nosek & Banaji (2001): The Go/No-Go Association Task", https://doi.org/10.7910/DVN/NTNKZZ, Harvard Dataverse, V1

Theory is constrained by the quality and versatility of measurement tools. As such, the development of techniques for measurement is critical to the successful development of theory. This paper presents a technique — the Go/No-go Association Task (GNAT)—that joins a family of existing techniques for measuring implicit social cognition generally, wi...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications