Within this for each 
and every webpages, i amassed 1,one hundred thousand pages regarding heterosexual men and you may 1,100 profiles off heterosexual females. Pages check for profiles via geographic area, years, and sex strain.
To ensure a geographical dispersion off pages, i picked equal variety of pages off four significant places together with urban, residential district, and you can outlying areas: Los angeles, Denver, Chi town, Atlanta, and you can Nyc. We randomly chose zero requirements away from each one of the five parts to search for users. Within for every zip code, each intercourse, i up coming randomly selected profiles certainly five a long time: very early younger adulthood (old 18–29 years; letter = step one,000; Meters = , SD = step 3.17), late more youthful adulthood/early midlife (aged 29–forty two many years; n = step 1,000; M = , SD = 5.61), late midlife (aged fifty–64 ages; letter = step 1,000; Meters = , SD = step three.99), and the elderly (old more 65 years; n = step 1,000; Yards = , SD = 4.29).