Other packages > Find by keyword >

IATanalytics  

Compute Effect Sizes and Reliability for Implicit Association Test (IAT) Data
View on CRAN: Click here


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

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

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



Attach the package and use:
library("IATanalytics")
Maintained by
Daniel Storage
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-22
Latest Update: 2024-09-06
Description:
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) . The output of this function is a data frame that consists of four rows containing the following information: (1) the overall IAT effect size for the participant's dataset, (2) the effect size calculated for odd trials only, (3) the effect size calculated for even trials only, and (4) the proportion of trials with reaction times under 300ms (which is important for exclusion purposes). Items (2) and (3) allow for a measure of the internal consistency of the IAT. Specifically, you can use the subsetted IAT effect sizes for odd and even trials to calculate Cronbach's alpha across participants in the sample. 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 220, 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). 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 (2018). IATanalytics: Compute Effect Sizes and Reliability for Implicit Association Test (IAT) Data. R package version 0.2.0, https://cran.r-project.org/web/packages/IATanalytics. Accessed 16 Jul. 2026.
Previous versions and publish date:
0.1.0 (2018-05-22 14:01), 0.1.1 (2018-06-13 23:38), (2026-07-09 08:06)
Other packages that cited IATanalytics R package
View IATanalytics citation profile
Other R packages that IATanalytics depends, imports, suggests or enhances
Complete documentation for IATanalytics
Functions, R codes and Examples using the IATanalytics R package
Some associated functions: IATanalytics . sampledata . 
Some associated R codes: IATanalytics.R . sampledata.R .  Full IATanalytics package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  
Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
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  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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