parcelIAT: Data analysis function: Splits an IAT into Four Parcels

In iatgen/iatgen: IATs for Qualtrics

Data analysis function: Splits an IAT into Four Parcels

Description

Used for latent-variable modeling, this is run on an IAT object, the output from cleanIAT(). It outputs a list of four D-scores, each representing one 1/4 of the IAT. All four combined blocks are split into four parcels; corresponding portions of practice and critical blocks are then combined into two sets of trials (compatible, incompatible). These are then divided by the person-level SD of all trials across all combined blocks. The resulting four D-scores reflect four parcels of the IAT, with all combined blocks reflected in each parcel.

Usage

parcelIAT(input)

Arguments

input

A cleaned IAT, the output from cleanIAT().

Value

Returns a dataframe of D-scores, reflecting 1/4 of the IAT each.

References

Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464–1480. https://doi.org/10.1037/0022-3514.74.6.1464

Buttrick, N., Axt, J., Ebersole, C. R., & Huband, J. (2020). Re-assessing the incremental predictive validity of Implicit Association Tests. Journal of Experimental Social Psychology, 88, 103941. https://doi.org/10.1016/j.jesp.2019.103941

See Also

See www.iatgen.wordpress.com for tutorials and files.

Examples

## Not run: 
### Collapse  IAT critical blocks  down ####
parcel <- parcelIAT(clean)

## End(Not run)

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