IATData


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.


test

association

Implicit

Implements the standard D-Scoring algorithm
(Greenwald, Banaji, & Nosek, 2003) for Implicit Association Test (IAT)
data and includes plotting capabilities for exploring raw IAT data.

Dan Martin

Cleaning and Visualizing Implicit Association Test (IAT) Data

IATData function

A dataframe with 11792 observations of 16 variables (88 students in total) <ul>
<li> BLOCK_NAME_S: string of blocknames
  </li>
<li> BLOCK_PAIRING_DEFINITION_S: string of block pairings
  </li>
<li> TRIAL_NAME_S: word/picture used in sorting trial
  </li>
<li> SESSION_ID: ID of participant
  </li>
<li> TRIAL_NUMBER: number of trial within block
  </li>
<li> TRIAL_ERROR: indicates whether trial was an error (1 = YES)
  </li>
<li> TRIAL_LATENCY: reaction time for trial
  </li>
<li> isCongruentFirst: indicates if stereotype congruent blocks came first
</li>
</ul>

IATData: Sample Gender Stereotype Implicit Association Test data

Description

Arguments

Format

References