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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...
MS Word - 10.5 KB - MD5: be1d1e41d594a6b105f393d959a46b8b
Sample attitude questionnaire from studies.
MS Word - 29.5 KB - MD5: 0caf1f93752d1efdda5da965791eb936
Sample identity questionnaire from studies.
SAS Syntax - 14.3 KB - MD5: e683f589080f86aaca12defb7fd82073
Scripts
SAS analysis script for some analyses on combined dataset
SAS Syntax - 28.4 KB - MD5: b297762b96b3cb7a87e280b403b7a1f6
Scripts
SAS analysis script for importing data for all three studies
ZIP Archive - 379.2 KB - MD5: 41f6384dc1021fef35f66ca607aff506
Data
Raw data for Study 1
ZIP Archive - 520.4 KB - MD5: 54e124719156cec36c7d392a675c207f
Data
Raw data for Study 2
ZIP Archive - 546.0 KB - MD5: f9ca7a2fc818f36f514ce453a8c70081
Data
Raw data for Study 3
Adobe PDF - 216.7 KB - MD5: b5c70cafc2355a3ee59665b434b6d095
Article published in JPSP
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...
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