Detailed Analytics and you will Pictures of Popular Terms

Detailed Analytics and you will Pictures of Popular Terms

We checked possible variations by the webpages, geographical region, and you will ethnicity playing with t-examination and you will data away from difference (ANOVA) on the LIWC group percent. To your two other sites, six of the a dozen t-tests have been significant on following the kinds: first-people only 1 [t(3998) = ?5.61, p Additional Table 2 having form, simple deviations, and you may contrasts ranging from cultural communities). Contrasts revealed tall differences when considering White and all sorts of other ethnic communities during the five of your half a dozen extreme ANOVAs. Thus, we provided ethnicity because the good dummy-coded covariate for the analyses (0 = White, step 1 = Almost every other ethnic organizations).

Of the twelve ANOVA assessment about geographical part, only a few was basically significant (household members and confident emotion). Because the variations were not technically meaningful, we failed to envision geographic region in the next analyses.


Volume away from term use is obvious inside descriptive statistics (pick Table step 1) and you will via phrase-clouds. The expression-cloud strategy portrays the quintessential popular terms and conditions across the entire sample and also in each of the a long time. The expression-affect system instantly excludes certain conditions, as well as posts (a beneficial, and you can, the) and you will prepositions (in order to, with, on). The rest blogs terminology try scaled in dimensions according to its regularity, creating an intuitive portrait really common articles terminology round the the latest sample ( Wordle, 2014).

Shape step 1 reveals this new 20 common blogs terms found in the entire try. As can get noticed, the quintessential commonly used terms had been love (appearing within the 67% regarding profiles), eg (lookin in the 62% away from profiles), searching (appearing in the 55% off pages), and you may anybody (searching from inside the fifty% out-of pages). Therefore, widely known conditions was indeed comparable across age range.

Shape 2 reveals next 30 most commonly known posts words into the the brand new youngest and you can oldest age groups. By removing the initial 20 common content terminology over the test, i instruct heterogeneity regarding the relationships pages. In the next 29 terms on the youngest age group, significant number terms and conditions included get (36% away from profiles regarding youngest age bracket), go (33% off users from the youngest generation), and you will performs (28% away from users regarding youngest generation). In contrast, brand new oldest age group had large percent of words such as for example travel (31% of pages on the earliest generation), high (24% regarding pages on the oldest generation), and you may matchmaking (19% out of pages in the eldest age bracket).

Next 29 popular terms and conditions from the youngest and you may earliest many years organizations (shortly after deducting brand new 20 typical words out of Figure step 1).

Theory Research of age Variations in Vocabulary during the Relationships Users

To test hypotheses, brand new part of words regarding the relationships character that fit for each and every LIWC class offered because depending details for the regressions. We examined age and you can gender as the separate variables in addition to modifying having site and ethnicity.

Theory step one: More mature age will be associated with increased percentage of terms on the following the categories: first-people plural pronouns, family unit members, loved ones, fitness, and you may confident feelings.

Conclusions mostly offered Hypothesis step one (come across Table dos). Four of the five regressions found a critical head effect having ages, in a fashion that since chronilogical age of the new profile copywriter enhanced, the fresh new percentage of terms on class improved regarding the pursuing the categories: first-person plural, family members, health, and you will confident feeling. I discovered no high age impression towards the ratio away from conditions in the family relations classification.

a sex: 0 (female) and you can 1 (male). b Website: The 2 websites have been dictomously coded as step one and you will 0. c Ethnicity: 0 (White) and you will step 1 (Cultural or racial minority).

a gender: 0 (female) and you may step 1 (male). b Site: Both other sites have been dictomously coded just like the step 1 and you can 0. c Ethnicity: 0 (White) and you can 1 (Cultural or racial fraction).




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