We checked out prospective differences of the webpages, geographical part, and you can ethnicity playing with t-screening and studies away from variance (ANOVA) into LIWC class rates. For the a couple websites, half dozen of a dozen t-tests had been high on pursuing the classes: first-person one [t(3998) = ?5.61, p Secondary Table dos to have means, basic deviations, and you will contrasts anywhere between ethnic teams). Contrasts revealed tall differences between White as well as other ethnic teams in the four of the half dozen significant ANOVAs. Ergo, i integrated ethnicity due to the fact a beneficial dummy-coded covariate in analyses (0 = Light, 1 = Almost every other ethnic communities).
Of your own twelve ANOVA examination regarding geographical region, just a couple was basically significant (relatives and you will self-confident emotion). As the distinctions weren’t technically significant, i don’t imagine geographical region in the next analyses.
Overall performance
Regularity away from term explore is evident for the descriptive statistics (come across Desk step 1) and thru term-clouds. The word-cloud techniques illustrates the quintessential widely used conditions along side entire sample along with each of the a long time. The expression-cloud program immediately excludes specific terminology, and additionally blogs (an effective, and you can, the) and you may prepositions (to help you, having, on). The rest articles terminology is actually scaled in size prior to the volume, creating an intuitive portrait quite prevalent articles terms all over this new test ( Wordle, 2014).