IATalpha: Data analysis function: Cronbach's Alpha

In iatgen/iatgen: IATs for Qualtrics

Data analysis function: Cronbach's Alpha

Description

An alternative way of assessing the internal consistency of the IAT is to use Cronbach's Alpha. This method, used by Schnabel, Asendorpf, & Greenwald (2008) creates pairs of reaction times from compatible/incompatible blocks, calculates their difference scores, and enters those into a Cronbach's alpha analysis.

Usage

IATalpha(data)

Arguments

data	an object created by cleanIAT() representing a cleaned IAT.

Value

Returns a list with alphas based on the practice trials, the critical trials, and the entire IAT. Also retuns a matrix 'diffscores' of the differences in latency for all matched trials (pooled practice and critical into one matrix)

References

Schnabel, K., Asendorpf, J. B., & Greenwald, A. G. (2008). Using Implicit Association Tests for the Assessment of Implicit Personality Self-Concept. In The SAGE Handbook of Personality Theory and Assessment: Volume 2—Personality Measurement and Testing (pp. 508–528). SAGE Publications Ltd. https://doi.org/10.4135/9781849200479.n24

Examples

## Not run: 
### RELIABILITY ANALYSIS - ESTIMATE ONLY ###
IATalpha(clean)$alpha.total

### RELIABILITY ANALYSIS - ENTIRE RELIABILITY OUTPUT ###
IATalpha(clean)

## End(Not run)

iatgen/iatgen documentation built on Oct. 23, 2023, 10:55 a.m.