In this each site, i amassed step one,000 users out of heterosexual guys and you will step one,000 pages away from heterosexual lady. Users choose profiles via geographical venue, age, and you can gender strain.
To be certain a geographical dispersion out of users, i selected equivalent numbers of profiles regarding four significant towns and cities plus metropolitan, residential district, and you may rural parts: Los angeles, Denver, il, Atlanta, and you can Nyc. We at random picked zero codes away from each one of the four elements to look for profiles. Within for each and every area code, each gender, we upcoming at random selected users one of four a long time: very early younger adulthood (old 18–29 years; letter = 1,000; Meters = , SD = 3.17), later younger adulthood/early midlife (aged 31–44 decades; letter = 1,000; Yards = , SD = 5.61), later midlife (old 50–64 years; n = 1,000; Yards = , SD = step three.99), and you will the elderly (aged more than 65 ages; n = step one,000; M = , SD = 4.29). We made use of such stratifications in order to guarantee an entire a long time away from relationships profiles in testing. Due to the fact older adults classification you can expect to incorporate as much as 3 decades, i treated years since a continuous changeable as opposed to since a great group changeable inside analyses.