We tested possible distinctions by the web site, geographical area, and you may ethnicity using t-assessment and you may research out of difference (ANOVA) on the LIWC group proportions. On one or two websites, half a dozen of several t-testing was in fact high regarding following groups: first-individual only one [t(3998) = ?5.61, p Supplementary Dining table 2 having means, simple deviations, and you may contrasts anywhere between cultural communities). Contrasts revealed tall differences between White as well as other cultural groups from inside the five of half dozen extreme ANOVAs best colombian dating sites. For this reason, we incorporated ethnicity given that an excellent dummy-coded covariate within the analyses (0 = White, step 1 = All other ethnic teams).

Of one’s 12 ANOVA tests associated with geographic part, just one or two was in fact extreme (family unit members and you will self-confident emotion). Just like the distinctions were not officially significant, we didn’t imagine geographical region when you look at the subsequent analyses.

Results

Frequency out of keyword explore is obvious in the descriptive statistics (see Table step one) and you may through phrase-clouds. The term-cloud technique portrays more popular terminology across the whole test and also in all the age groups. The definition of-affect program instantly excludes specific terms, and additionally stuff (good, and, the) and you can prepositions (to help you, which have, on). The remaining articles conditions are scaled sizes according to its regularity, starting an intuitive portrait of the most extremely commonplace blogs terms and conditions all over new shot ( Wordle, 2014).

Profile 1 shows the fresh new 20 most commonly known stuff terminology found in the whole shot. As well as be seen, one particular frequently used terms and conditions have been love (looking during the 67% out of users), like (lookin for the 62% out-of users), appearing (looking inside the 55% off profiles), and someone (lookin during the fifty% out of pages). Thus, the most famous terminology had been similar around the a long time.

Shape dos suggests another 31 common blogs conditions in the new youngest and you can eldest a long time. By detatching the initial 20 popular content words over the test, we train heterogeneity regarding relationships pages. Within the next 30 conditions towards the youngest age group, raised percentage terms and conditions integrated get (36% out-of profiles regarding youngest generation), go (33% out of users regarding the youngest age group), and functions (28% from profiles regarding the youngest age bracket). However, the brand new earliest generation got high rates regarding words such as for example traveling (31% away from profiles regarding oldest age group), high (24% from profiles regarding oldest age group), and matchmaking (19% off pages in the oldest generation).

Second 29 most typical terms and conditions from the youngest and you may oldest age communities (after subtracting the brand new 20 most frequent terms out-of Profile 1).

Hypothesis Comparison of age Variations in Vocabulary in the Dating Pages

To evaluate hypotheses, this new portion of terms and conditions from the matchmaking profile that suit for each LIWC category offered as the depending details when you look at the regressions. I examined many years and you can gender since the independent details together with changing to possess webpages and you may ethnicity.

Hypothesis 1: Older years was for the a high part of terms about following the classes: first-person plural pronouns, nearest and dearest, friends, wellness, and you can positive emotion.

Findings largely supported Hypothesis step 1 (find Dining table 2). Five of your five regressions revealed a significant main impression to possess ages, such that as the ages of the character creator enhanced, the brand new part of conditions about classification enhanced regarding the after the categories: first-individual plural, members of the family, wellness, and you will positive feelings. I located zero significant ages feeling on proportion off words in the loved ones classification.

an excellent Gender: 0 (female) and you can step one (male). b Web site: The 2 websites was indeed dictomously coded just like the 1 and you will 0. c Ethnicity: 0 (White) and step 1 (Cultural otherwise racial fraction).

a beneficial Gender: 0 (female) and you can 1 (male). b Website: The 2 websites was in fact dictomously coded as the step one and you will 0. c Ethnicity: 0 (White) and step 1 (Ethnic otherwise racial fraction).