I checked out prospective differences because of the web site, geographical region, and you will ethnicity playing with t-examination and you may investigation from difference (ANOVA) into LIWC group proportions. To your a couple websites, half dozen of 12 t-assessment had been tall in the following categories: first-person only 1 [t(3998) = ?5.61, p Secondary Desk 2 to possess function, practical deviations, and you will contrasts ranging from cultural communities). Contrasts found significant differences between Light as well as most other cultural teams during the four of your own half a dozen high ANOVAs. Therefore, i incorporated ethnicity since a great dummy-coded covariate into the analyses (0 = Light, 1 = Some other ethnic organizations).

Of one’s twelve ANOVA screening regarding geographic region, merely a couple of were extreme (family members and you will confident emotion). As the variations just weren’t commercially important, i didn’t envision geographic part within the next analyses.

Efficiency

Frequency out of phrase have fun with is evident within the detailed analytics (come across Dining table step 1) and you can through phrase-clouds. The term-cloud strategy illustrates the quintessential commonly used conditions across the whole decide to try and also in each one of the a long time. The word-affect system immediately excludes specific words, including posts (a, and, the) and you may prepositions (to, which have, on). The remainder stuff terminology are scaled in proportions according to their volume, starting an user-friendly portrait quite commonplace articles terms and conditions all over brand new decide to try ( Wordle, 2014).

Profile step one suggests the fresh 20 typical content terms and conditions included in the complete decide to try. As well as get noticed, the essential frequently used terms and conditions had been like (looking during the 67% of pages), for example (looking in the 62% out-of users), lookin (appearing from inside the 55% out of users), and somebody (appearing during the fifty% out of pages). Thus, the most famous terms and conditions was basically equivalent all over a long time.

Contour dos shows the next 30 typical stuff conditions during the the new youngest and you can earliest age range. By detatching the original 20 preferred articles terms along side attempt, we illustrate heterogeneity about matchmaking users. Next 31 conditions to the youngest generation, high level percentage conditions included score (36% out of profiles from the youngest age group), go (33% away from pages regarding the youngest generation), and you may works (28% regarding pages regarding the youngest age bracket). Having said that, the latest earliest age bracket got high proportions away from terminology including travel (31% out-of profiles regarding the eldest age bracket), great (24% away from profiles regarding the oldest age group), and relationship (19% away from users from the oldest age group).

2nd 31 most typical words from the youngest and you will oldest many years organizations (just after deducting the brand new 20 popular conditions out of Figure step one).

Hypothesis Analysis of age Differences in Vocabulary during the Relationships Pages

To check hypotheses, the newest percentage of words on dating profile that suit each LIWC category offered just like the situated parameters in the regressions. We looked at decades and intercourse since the independent details including changing getting site and you will ethnicity.

Theory 1: Old many years is associated with the a high portion of conditions on the pursuing the groups: first-individual plural pronouns, members of the family, nearest and dearest, wellness, and you may self-confident feelings.

Results mainly offered Theory 1 (pick Dining table 2). Four of the four regressions revealed a critical fundamental effect getting years, such that because the chronilogical age of the fresh new profile copywriter improved, this new percentage of conditions from the category increased regarding the following the categories: first-people plural, members of the family, fitness, and you will positive emotion. I discovered zero tall many years impact into the proportion out of conditions on the loved ones classification.

a gender: 0 (female) and you will step one (male). b Web site: Both other sites were dictomously coded because the step 1 and you can 0. c Ethnicity: 0 (White) and you may step one (Ethnic otherwise racial fraction).

an intercourse: 0 (female) and you will step 1 (male). b Site: Both other sites was basically dictomously coded because 1 and 0. c Ethnicity: 0 (White) and you may step one (Cultural or racial fraction).