IATanalytics: Function to Analyze Raw Data from an Implicit Association...

In IATanalytics: Compute Effect Sizes and Reliability for Implicit Association Test (IAT) Data

Description

This function is designed to analyze raw data from an Implicit Association Test (IAT). The only required input is the name of the dataset, but you can also specify manually the number of trials in your IAT (e.g., for Brief IATs) or whether the participant first saw incongruent category pairings. Refer to the package's DESCRIPTION file for more detailed information (or contact me directly at [e-mail]).

Usage

IATanalytics(IAT, Trials, First)

Arguments

IAT	The name of the dataset to be analyzed.
Trials	The number of trials across your entire IAT. The default is set to 220, which is typical of most IATs.
First	Whether participants first sorted Congruent or Incongruent trials. The default is set to Congruent.

Examples

IATanalytics(sampledata)
IATanalytics(IAT=sampledata)
IATanalytics(sampledata, First="Congruent")
IATanalytics(sampledata, First="Incongruent")

IATanalytics documentation built on May 2, 2019, 6:21 a.m.