Detailed Statistics and you can Images of Popular Terminology

Detailed Statistics and you can Images of Popular Terminology

I checked-out potential differences from the site, geographic region, and you may ethnicity playing with t-screening and you may investigation away from variance (ANOVA) toward LIWC class percent. To the a couple websites, half a dozen of the twelve t-tests was indeed high throughout the following classes: first-person one [t(3998) = ?5.61, p Secondary Table dos for form, fundamental deviations, and contrasts ranging from cultural organizations). Contrasts shown extreme differences between White and all sorts of other ethnic groups into the four of the six extreme ANOVAs. Ergo, i incorporated ethnicity as good dummy-coded covariate in the analyses (0 = Light, step one = Some other ethnic groups).

Of the a dozen ANOVA evaluation related to geographic region, simply two was basically significant (family and positive emotion). Since variations were not officially important, i don’t consider geographic part in the subsequent analyses.


Regularity regarding word explore is obvious in descriptive statistics (come across Dining table step one) and through word-clouds. The word-affect strategy portrays many commonly used terminology along the entire try and in each of the a long time. The word-affect program instantly excludes specific terms and conditions, including posts (an excellent, and you may, the) and you may prepositions (so you can, that have, on). The remainder posts words are scaled in size relative to its frequency, undertaking an user-friendly portrait really common content words all over the fresh attempt ( Wordle, 2014).

Contour 1 reveals brand new 20 most common stuff words used in the whole attempt. As well as get noticed, the absolute most frequently used terminology was in fact love (lookin during the 67% regarding profiles), such (appearing when you look at the 62% off users), looking (looking from inside the 55% of users), and some one (looking into the fifty% away from profiles). Ergo, typically the most popular terms and conditions was similar across the age groups.

Contour 2 shows the next 31 most common articles words during the the brand new youngest and you may oldest a long time. By removing the initial 20 prominent articles words along side shot, i show heterogeneity throughout the relationship users. Within the next 30 terms and conditions to your youngest generation, raised percentage conditions incorporated rating (36% off pages regarding youngest generation), wade (33% of profiles regarding the youngest age bracket), and really works (28% out-of users about youngest age group). Alternatively, the latest oldest generation got high rates out-of terms like traveling (31% out-of profiles on the earliest age group), high (24% regarding profiles regarding eldest age bracket), and you will relationship (19% away from users on eldest generation).

2nd 29 most commonly known words regarding the youngest and earliest decades teams (once deducting brand new 20 most commonly known conditions of Figure step one).

Theory Evaluation old Differences in Words inside the Dating Profiles

To evaluate hypotheses, the new portion of terms and conditions regarding the relationship character that suit for each LIWC classification supported because depending details within the regressions. I checked out ages and you can intercourse as separate details also modifying having web site and you will ethnicity.

Hypothesis step one: More mature decades could well be of the a top percentage of words on following the categories: first-people plural pronouns, members of the family, household members, fitness, and you may confident emotion.

Findings largely offered Hypothesis step 1 (find Table 2). Five of one’s five regressions shown a critical fundamental impression to own age, such that because age the latest reputation blogger enhanced, the fresh part of terms and conditions on the class improved about after the categories: first-individual plural, household members, health, and you will positive feelings. We discover no significant ages effect towards the proportion of words throughout the family unit members group.

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

an intercourse: 0 (female) and step one (male). b Website: The two websites were dictomously coded as the step 1 and you can 0. c Ethnicity: 0 (White) and you may 1 (Cultural otherwise racial fraction).

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