We tested prospective variations from the web site, geographic area, and you may ethnicity having fun with t-screening and you will research of difference (ANOVA) into LIWC classification percent. Into the two websites, half dozen of your own a dozen t-evaluation have been tall regarding following the kinds: first-person just one [t(3998) = ?5.61, p Second Table dos having means, important deviations, and you can contrasts between ethnic organizations). Contrasts shown significant differences between Light and all sorts of almost every other cultural communities inside the four of one’s six significant ANOVAs. Ergo, we provided ethnicity because a beneficial dummy-coded covariate when you look at the analyses (0 = Light, 1 = Almost every other ethnic communities).

Of your own several ANOVA evaluation related to geographical area, merely one or two was in fact significant (family unit members and you will self-confident feelings). Because the variations weren’t technically important, we didn’t think geographical part when you look at the next analyses.

Overall performance

Frequency off term explore goes without saying within the detailed analytics (pick Dining table step one) and through phrase-clouds. The phrase-affect technique depicts many widely used conditions along side whole decide to try along with all the age groups.

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