Athenstaedt (2003) examined Gender Role Self-Concept. She reports two independent dimensions of Male and Female behaviors. While there are large gender/sex differences on both of these dimensions, the two represent independent factorsl Eagly and Revelle (2022) have used these data to explore the power of aggregation when examining sex differences. This data set is also useful to show various graphical display procedures.
data("Athenstaedt")A data frame with 576 observations on the following 117 variables.
STUDIEa numeric vector
genderMale =1, Female= 2
self report items (see Athenstaedt.dictionary)
Gender (Male = 1, Female =2)
To pay attention to ones appearance in the office
Offer fire to somebody
Paint an Apartment
Mow the Lawn
Make the Bed
Hold the Door Open for your Partner
Do the Dishes
Do Extreme Sports
Tinker with the Car
Talk about Sports
Assemble Prefabricated Furniture
Drive a Car in a Risky Way
Listen Attentively to Others
Tell your Partner about Problems at Work
Play on a Computer
Set the Table
Watch ones Weight
Care for a Partner if he/she is Ill
Play Chess
Meet with friends at a Regulars Table
Watch Soap Operas
Take a Friends Arm
Wrap Presents Beautifully
In case of Vacation with Partner Packing the Luggage for Both
To admit own Occupational Weekness
Work Overtime
Openly Show Vulnerability
Babysit
Change Fuses
Clean a Drain
Take Care of Somebody
Do Repair Work
Change Light Bulbs
Wash the Car
Ride a Motorcycle
Cook Meat on the Grill
Thump Carpets
Dust the Furniture
Buy Electric Appliances
Go Dancing
Go for a Walk through Town
Go to the Ballet
Hug a Friend
Do Handiwork (e.g. Knitting)
Change Bed Sheets
Sew on a Button
Do Aerobics
Watch Sports on Television
Talk about Problems
Play Parlor Games
Talk about Politics
Take Care of Flowers
Make Coffee in the Office
Shovel Snow
Read non-Fiction Books
Organize Company Parties
Do Home Improvement Jobs
Plead for the Socially Disadvantaged
Buy a Present for a Colleague
To Talk with Colleagues about Family Matters
Make Jam
Frquently Ask Colleagues Questions
Decorate the Office with Flowers
Pick up the Dinner Bill
Shop for the Family
Have Problem using Technical Devices
Care for Family Besides a Job
Watch Action Movies
Cook
Help your Partner Put on His or Her Coat
Wash Windows
Do the Ironing
Do the Laundry
Put on Make-up
Femininity Scale
Masculinity Scale
Femininity Scale
Masculinity Scale
Pooled Scale
see the original Athenstaedt paper
FBEHAVa numeric vector
MBEHAVa numeric vector
Femininitya numeric vector
Masculinitya numeric vector
MFa numeric vector
Ursala Athenstaedt (2003) reported several analyses of items and scales measuring Gender Role Self-Concept. Eagly and Revelle (2022) have used these data in an analysis of the power of aggregation. Here are the original items as well as the three scales Eagly and Revelle (2022). The accompanying Athenstaedt.dictionary may be used to see the items.
See the GERAS data set for a related example.
Ursula Athenstaedt (2003) On the Content and Structure of the Gender Role Self-Concept: Including Gender-Stereotypical Behaviors in Addition to Traits. Psychology of Women Quarterly, 27, 309-318. doi: 10.1111/1471-6402.00111.
Alice Eagly and William Revelle (2022) Understanding the Magnitude of Psychological Differences Between Women and Men Requires Seeing the Forest and the Trees. Perspectives in Psychological Science doi:10.1177/17456916211046006.
data(Athenstaedt)
psych::scatterHist(Femininity ~ Masculinity + gender, data =Athenstaedt,
cex.point=.4,smooth=FALSE, correl=FALSE,d.arrow=TRUE,col=c("red","blue"),
lwd=4, cex.main=1.5,main="Scatter Plot and Density",cex.axis=2)
psych::cohen.d(Athenstaedt[2:76], group="gender", dictionary=Athenstaedt.dictionary)
#show the top 5 items for each scale
select <- c(psych::selectFromKeys(Athenstaedt.keys$MF10),"gender")
psych::corPlot(Athenstaedt[,select], main="F and M items from Athenstaedt")
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