Other packages > Find by keyword >

IATScore  

Scoring Algorithm for the Implicit Association Test (IAT)
View on CRAN: Click here


Download and install IATScore package within the R console
Install from CRAN:
install.packages("IATScore")

Install from Github:
library("remotes")
install_github("cran/IATScore")

Install by package version:
library("remotes")
install_version("IATScore", "0.2.0")



Attach the package and use:
library("IATScore")
Maintained by
Daniel Storage
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-26
Latest Update: 2024-09-06
Description:
This minimalist package is designed to quickly score raw data outputted from an Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) . IAT scores are calculated as specified by Greenwald, Nosek, and Banaji (2003) . Outputted values can be interpreted as effect sizes. The input function consists of three arguments. First, indicate the name of the dataset to be analyzed. This is the only required input. Second, indicate the number of trials in your entire IAT (the default is set to 219, which is typical for most IATs). Last, indicate whether congruent trials (e.g., flowers and pleasant) or incongruent trials (e.g., guns and pleasant) were presented first for this participant (the default is set to congruent). The script will tell you how long it took to run the code, the effect size for the participant, and whether that participant should be excluded based on the criteria outlined by Greenwald et al. (2003). Data files should consist of six columns organized in order as follows: Block (0-6), trial (0-19 for training blocks, 0-39 for test blocks), category (dependent on your IAT), the type of item within that category (dependent on your IAT), a dummy variable indicating whether the participant was correct or incorrect on that trial (0=correct, 1=incorrect), and the participant
How to cite:
Daniel Storage (2017). IATScore: Scoring Algorithm for the Implicit Association Test (IAT). R package version 0.2.0, https://cran.r-project.org/web/packages/IATScore. Accessed 04 Aug. 2026.
Previous versions and publish date:
0.1.0 (2017-04-26 19:18), 0.1.1 (2018-01-10 21:57), (2026-07-09 08:06)
Other packages that cited IATScore R package
View IATScore citation profile
Other R packages that IATScore depends, imports, suggests or enhances
Complete documentation for IATScore
Functions, R codes and Examples using the IATScore R package
Some associated functions: BriefIAT . IAT . IATScore . TooFastIAT . 
Some associated R codes: IATScore.R . IATScore_BriefIATDataset.R . IATScore_SampleDataset.R . IATScore_TooFastDataset.R .  Full IATScore package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

rCMA  
R-to-Java Interface for 'CMA-ES'
Tool for providing access to the Java version 'CMAEvolutionStrategy' of Nikolaus Hansen. 'CMA-ES' i ...
Download / Learn more Package Citations See dependency  
sValues  
Measures of Sturdiness of Regression Coefficients
Implements the s-values proposed by Ed. Leamer. It provides a context-minimal approach for sensitivi ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
GLMMadaptive  
Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Fits generalized linear mixed models for a single grouping factor under maximum likelihood approxim ...
Download / Learn more Package Citations See dependency  
epigraphdb  
Interface Package for the 'EpiGraphDB' Platform
The interface package to access data from the 'EpiGraphDB' platform. It p ...
Download / Learn more Package Citations See dependency  
Maintainer: Yi Liu (view profile)
ggconf  
Simpler Appearance Modification of "ggplot2"
A flexible interface for ggplot2theme potentially saving 50 of your typing. ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA