data_gender_math_iat_ma: Gender math IAT ma - Ch9 - Many Labs replications of Nosek et...
In rcalinjageman/esci: Estimation Statistics with Confidence Intervals
data_gender_math_iat_ma R Documentation
Gender math IAT ma - Ch9 - Many Labs replications of Nosek et al. (2002)
Description
In EOC Exercise 4 in Chapter 7 we encountered the classic study of Nosek et
al. (2002), in which male and female participants completed an Implicit
Association Test (IAT) that measured the extent of negative attitudes towards
mathematics, compared with art. The study found that women, compared with
men, tended to have more negative implicit attitudes towards mathematics. The
Many Labs project repeated this study at locations around the world (Klein et
al., 2014a, 2014b). Summary data for 30 of these labs are available in Gender
math IAT ma. Higher scores indicate more implicit bias against mathematics.
See also data_gender_math_iat for raw data from two specific sites from this
replication effort.
Usage
data_gender_math_iat_ma
Format
data_gender_math_iat_ma
A data frame with 30 rows and 9 columns:
- Location
factor
- M Male
numeric
- s Male
numeric
- n Male
integer
- M Female
numeric
- s Female
numeric
- n Female
integer
- USAorNot
factor
- Country
factor
Source
rcalinjageman/esci documentation built on March 29, 2024, 7:30 p.m.
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| data_gender_math_iat_ma | R Documentation |
Gender math IAT ma - Ch9 - Many Labs replications of Nosek et al. (2002)
Description
In EOC Exercise 4 in Chapter 7 we encountered the classic study of Nosek et al. (2002), in which male and female participants completed an Implicit Association Test (IAT) that measured the extent of negative attitudes towards mathematics, compared with art. The study found that women, compared with men, tended to have more negative implicit attitudes towards mathematics. The Many Labs project repeated this study at locations around the world (Klein et al., 2014a, 2014b). Summary data for 30 of these labs are available in Gender math IAT ma. Higher scores indicate more implicit bias against mathematics. See also data_gender_math_iat for raw data from two specific sites from this replication effort.
Usage
data_gender_math_iat_ma
Format
data_gender_math_iat_ma
A data frame with 30 rows and 9 columns:
- Location
factor
- M Male
numeric
- s Male
numeric
- n Male
integer
- M Female
numeric
- s Female
numeric
- n Female
integer
- USAorNot
factor
- Country
factor
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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