math_gender_iat: Two Independent Groups - Math Gender IAT
In gitrman/itns: Datasets from the book Introduction to the New Statistics

Description Usage Format Details Source References

An example of data from a study with a two independent groups design used in Chapter 7 of the book Introduction to the New Statistics.

1	math_gender_iat

A data frame with 243 rows and 4 variables:

sessionid: Respondent identifier
location: The lab that collected the data (ithaca or sdsu)
gender: male or female
iat_score: The score on the IAT test, where higher scores represent stronger negative bias towards math and negative scores represent stronger negative bias towards art.

To what extent is gender related to implicit attitudes about bias? To find out, Nosek and colleagues asked male and female students to complete an Implicit Association Test (IAT) that measured how easily negative ideas could be connected to art or to mathematics. The data shown here records the participants' gender and their IAT score. Positive scores indicate an easier time linking negative ideas with mathematics, negative scores indicate an easier time linking positive ideas with mathematics. The data is from 2 different labs (Ithaca and SDSU), both part of a large-scale collaboration in which the same studies were run in multiple labs all over the world.

This is data is available online at https://osf.io/wx7ck and is from:

Klein, R. A., Ratliff, K. A., Vianello, M., Adams ., R. B., Bahnik, S., Bernstein, M. J., ... & Nosek, B. A. (2014). Investigating Variation in Replicability. Social Psychology, 45, 142-152. http://doi.org/10.1027/1864-9335/a000178

Data from participants that had to be excluded due to high error rates or slow responses has already been deleted.

The original study to investigate this effect is: Nosek, B. a, Banaji, M. R., & Greenwald, A. G. (2002). Math = male, me = female, therefore math not = me. Journal of Personality and Social Psychology, 83, 44-59. http://doi.org/10.1037/0022-3514.83.1.44

Cumming, G., & Calin-Jageman, R. (2017). Introduction to the New Statistics. New York; Routledge.

gitrman/itns documentation built on May 17, 2019, 5:29 a.m.