IATreliability: Data analysis function: Estimate reliability of IAT

In iatgen/iatgen: IATs for Qualtrics

Data analysis function: Estimate reliability of IAT

Description

One can easily estimate the IAT reliability by scoring the IAT separately based on odd and even trials and compute a split-half reliability. This is accomplished using IATreliability(), which sorts trials in order by type (positive, negative, target A, target B), takes alternating trials in order of presentation, scores and correlates the IAT, and applies a split-half spearman-brown correction (De Houwer & De Bruycker, 2007). This ensures an even distribution of targets and categories in odd/even trialsets.

Usage

IATreliability(data, inclusive.sd = TRUE)

Arguments

data	An object created by cleanIAT() representing a cleaned IAT.
inclusive.sd	Unused parameter.

Value

Returns reliability estimate and split-half correlation. In addition, D scores for odd and even trials can be viewed, as can the component practice and critical D scores.

References

De Houwer, J., & De Bruycker, E. (2007). The Implicit Association Test outperforms the extrinsic affective Simon task as an implicit measure of inter-individual differences in attitudes. British Journal of Social Psychology, 46, 401–421. https://doi.org/10.1348/014466606X130346

Examples

## Not run: 
### RELIABILITY ANALYSIS - ESTIMATE ONLY ###
IATreliability(clean)$reliability

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

## End(Not run)

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