IATData: Sample Gender Stereotype Implicit Association Test data

In IAT: Cleaning and Visualizing Implicit Association Test (IAT) Data

Description

A dataframe containing data from a Gender Stereotype Implicit Association Test. Data was taken from college students in a differential equations classroom taught by a female professor.

Format

A dataframe with 11792 observations of 16 variables (88 students in total)

• BLOCK_NAME_S: string of blocknames

• BLOCK_PAIRING_DEFINITION_S: string of block pairings

• TRIAL_NAME_S: word/picture used in sorting trial

• SESSION_ID: ID of participant

• TRIAL_NUMBER: number of trial within block

• TRIAL_ERROR: indicates whether trial was an error (1 = YES)

• TRIAL_LATENCY: reaction time for trial

• isCongruentFirst: indicates if stereotype congruent blocks came first

Author(s)

Dan Martin [e-mail]

References

http://projectimplicit.net/fpi/researchers.html

IAT documentation built on May 2, 2019, 3:02 a.m.