We checked out possible differences of the site, geographical part, and you may ethnicity using t-evaluating and you may study regarding difference (ANOVA) towards LIWC category proportions. Towards a couple websites, half a dozen of your a dozen t-examination was extreme about pursuing the groups: first-person one [t(3998) = ?5.61, p Supplementary Table dos to possess form, standard deviations, and you may contrasts anywhere between ethnic communities). Contrasts found extreme differences when considering Light and all sorts of most other ethnic teams during the five of the half dozen extreme ANOVAs. For this reason, i incorporated ethnicity because the good dummy-coded covariate during the analyses (0 = Light, step 1 = All other cultural organizations).
Of your a dozen ANOVA screening associated with geographical part, just a wapa nedir few was in fact high (relatives and you will positive feeling). Just like the distinctions were not technically important, we don’t consider geographic area inside subsequent analyses.
Overall performance
Frequency off phrase use goes without saying in the descriptive analytics (come across Desk step 1) and thru phrase-clouds. The term-cloud techniques depicts the essential widely used conditions along side entire test plus in each one of the age range. The phrase-cloud program immediately excludes certain terminology, and posts (an effective, and you will, the) and you can prepositions (so you’re able to, that have, on). The remainder posts conditions is scaled in proportions prior to its frequency, undertaking an user-friendly portrait of the very most common blogs words all over the newest try ( Wordle, 2014).
Contour 1 suggests brand new 20 typical stuff conditions included in the entire attempt. As well as be seen, more commonly used terms and conditions was like (lookin inside 67% away from users), such as for instance (appearing during the 62% out-of profiles), lookin (searching inside the 55% from users), and you will some one (appearing during the fifty% out-of profiles). Thus, typically the most popular terms and conditions were similar around the age groups.
Contour dos reveals another 30 most common content conditions from inside the this new youngest and you can oldest age groups. By removing the initial 20 popular posts terminology along side decide to try, i train heterogeneity on dating users. Within the next 30 words on the youngest age group, high percentage words provided score (36% out of pages about youngest generation), wade (33% out of pages throughout the youngest generation), and work (28% out-of profiles from the youngest generation). On the other hand, new earliest age group had highest percent away from terminology eg take a trip (31% out-of profiles from the earliest age group), great (24% off users about eldest age bracket), and you will relationships (19% regarding pages regarding the earliest generation).
Next 31 most common terms and conditions regarding youngest and you can earliest ages communities (immediately after deducting the 20 common terms out-of Profile step 1).
Theory Testing of age Variations in Vocabulary inside the Matchmaking Users
To check hypotheses, the part of terms and conditions throughout the relationship character that suit for every single LIWC group served as based variables within the regressions. We looked at years and you will gender because the independent parameters in addition to adjusting to own site and ethnicity.
Hypothesis step 1: Old decades might possibly be associated with a higher portion of terms throughout the adopting the kinds: first-individual plural pronouns, family, household members, health, and you may self-confident emotion.
Findings mostly offered Theory step one (look for Desk dos). Four of four regressions found a serious main effect to possess decades, in a fashion that as chronilogical age of the latest reputation copywriter enhanced, brand new portion of terminology throughout the group increased throughout the pursuing the categories: first-individual plural, friends, fitness, and you will positive feeling. We discovered zero high decades effect on the ratio regarding conditions on the household members class.
a gender: 0 (female) and you can step one (male). b Web site: The two websites was in fact dictomously coded just like the step 1 and you can 0. c Ethnicity: 0 (White) and you may step 1 (Ethnic otherwise racial minority).
a sex: 0 (female) and you may step one (male). b Site: The 2 other sites was basically dictomously coded as the step one and you will 0. c Ethnicity: 0 (White) and you may step one (Cultural otherwise racial minority).
