Athenstaedt {psychTools}

Gender Role Self Concept data from Athenstaedt (2003)

Description

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.

Usage

data("Athenstaedt")

Format

A data frame with 576 observations on the following 117 variables.

STUDIE

a numeric vector

gender

Male =1, Female= 2

V1 - V74

self report items (see Athenstaedt.dictionary)

V1

Gender (Male = 1, Female =2)

V2

To pay attention to ones appearance in the office

V3

Offer fire to somebody

V4

Paint an Apartment

V5

Mow the Lawn

V6

Make the Bed

V7

Hold the Door Open for your Partner

V8

Do the Dishes

V9

Do Extreme Sports

V10

Tinker with the Car

V11

Talk about Sports

V12

Assemble Prefabricated Furniture

V13

Drive a Car in a Risky Way

V14

Listen Attentively to Others

V15

Tell your Partner about Problems at Work

V16

Play on a Computer

V17

Set the Table

V18

Watch ones Weight

V19

Care for a Partner if he/she is Ill

V20

Play Chess

V21

Meet with friends at a Regulars Table

V22

Watch Soap Operas

V23

Take a Friends Arm

V24

Wrap Presents Beautifully

V25

In case of Vacation with Partner Packing the Luggage for Both

V26

To admit own Occupational Weekness

V27

Work Overtime

V28

Openly Show Vulnerability

V29

Babysit

V30

Change Fuses

V31

Clean a Drain

V32

Take Care of Somebody

V33

Do Repair Work

V34

Change Light Bulbs

V35

Wash the Car

V36

Ride a Motorcycle

V37

Cook Meat on the Grill

V38

Thump Carpets

V39

Dust the Furniture

V40

Buy Electric Appliances

V41

Go Dancing

V42

Go for a Walk through Town

V43

Go to the Ballet

V44

Hug a Friend

V45

Do Handiwork (e.g. Knitting)

V46

Change Bed Sheets

V47

Sew on a Button

V48

Do Aerobics

V49

Watch Sports on Television

V50

Talk about Problems

V51

Play Parlor Games

V52

Talk about Politics

V53

Take Care of Flowers

V54

Make Coffee in the Office

V55

Shovel Snow

V56

Read non-Fiction Books

V57

Organize Company Parties

V58

Do Home Improvement Jobs

V59

Plead for the Socially Disadvantaged

V60

Buy a Present for a Colleague

V61

To Talk with Colleagues about Family Matters

V62

Make Jam

V63

Frquently Ask Colleagues Questions

V64

Decorate the Office with Flowers

V65

Pick up the Dinner Bill

V66

Shop for the Family

V67

Have Problem using Technical Devices

V68

Care for Family Besides a Job

V69

Watch Action Movies

V70

Cook

V71

Help your Partner Put on His or Her Coat

V72

Wash Windows

V73

Do the Ironing

V74

Do the Laundry

V75

Put on Make-up

V76

Femininity Scale

V77

Masculinity Scale

V78

Femininity Scale

V79

Masculinity Scale

V80

Pooled Scale

MMINUS1 - MPLUS

see the original Athenstaedt paper

FBEHAV

a numeric vector

MBEHAV

a numeric vector

Femininity

a numeric vector

Masculinity

a numeric vector

MF

a numeric vector

Details

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.

Source

Ursala Athenstaedt, personal communication, 2022, provided a SPSS sav file with the original data from which the complete cases in this set were selected.

References

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.

Examples

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")