We looked at possible differences of the site, geographic area, and you can ethnicity using t-evaluation and you may investigation away from difference (ANOVA) towards LIWC classification percent. For the a couple websites, half a dozen of 12 t-tests had been high in the pursuing the groups: first-person only 1 [t(3998) = ?5.61, p Second Table dos to possess means, fundamental deviations, and you will contrasts between ethnic communities). Contrasts found extreme differences when considering Light as well as most other ethnic teams for the five of your half a dozen extreme ANOVAs. Thus, we included ethnicity as a beneficial dummy-coded covariate within the analyses (0 = Light, step 1 = Various other cultural groups).
Of your a dozen ANOVA examination related to geographical part, only a few had been extreme (loved ones and self-confident feeling). Because the distinctions just weren’t technically important, i failed to imagine geographic part for the after that analyses.
Results
Regularity of word explore is evident inside the descriptive statistics (select Table step 1) and via word-clouds. The definition of-affect techniques depicts the most popular terms along side whole take to plus in each of the age groups. The definition of-affect program instantly excludes particular terms and conditions, and additionally articles (a beneficial, and, the) and you can prepositions (to help you, with, on). The remainder blogs terms was scaled sizes prior to the frequency, doing an intuitive portrait of the most extremely commonplace content words round the the test ( Wordle, 2014).
Shape 1 reveals new 20 most commonly known articles words utilized in the whole take to. As can rise above the crowd, one particular frequently used terms and conditions was in fact love (looking inside the 67% off users), such as (appearing during the 62% of users), looking (looking inside 55% out-of users), and you will people (appearing into the fifty% regarding pages). Read more