We tested possible distinctions of the web site, geographic region, and you will ethnicity using t-testing and you may study from variance (ANOVA) into the LIWC classification rates. On one or two websites, half dozen of your a dozen t-evaluating have been significant regarding following the groups: first-individual just one [t(3998) = ?5.61, p Second Table 2 to possess form, standard deviations, and contrasts ranging from ethnic organizations). Contrasts revealed extreme differences when considering White and all most other cultural communities during the four of your own six tall ANOVAs. For this reason, i incorporated ethnicity once the an excellent dummy-coded covariate in the analyses (0 = Light, 1 = Some other ethnic teams).
Of your 12 ANOVA tests related to geographical region, simply several was tall (relatives and you will confident feeling). Since the variations just weren’t officially important, we don’t think geographical region when you look at the subsequent analyses.
Results
Regularity senior sizzle giriЕџ out-of phrase have fun with goes without saying for the descriptive analytics (look for Desk 1) and you can via word-clouds. The expression-cloud techniques depicts probably the most commonly used conditions along the entire try along with each of the age range. The phrase-cloud program instantly excludes specific words, plus posts (a beneficial, and, the) and you will prepositions (so you can, having, on). The rest articles conditions was scaled sizes in accordance with their volume, starting an user-friendly portrait of the most extremely prevalent blogs terms around the the fresh new test ( Wordle, 2014).
Profile step one suggests the fresh 20 typical articles terms used in the complete decide to try. As well as rise above the crowd, the absolute most commonly used terminology were love (looking inside the 67% of pages), such (searching in 62% away from pages), looking (searching in 55% away from profiles), and you may anybody (appearing for the 50% out of users). Therefore, widely known conditions was in fact comparable round the age range.
Contour 2 shows the second 29 common stuff terms and conditions when you look at the new youngest and you can oldest age groups. By eliminating the first 20 popular blogs conditions across the sample, i show heterogeneity regarding the matchmaking pages. In the next 31 terms to your youngest generation, high level percentage terms and conditions integrated get (36% away from pages throughout the youngest age group), wade (33% out-of profiles on youngest age group), and work (28% of users regarding the youngest age group). Conversely, new oldest generation got highest rates of terminology eg take a trip (31% of pages regarding eldest generation), high (24% from pages regarding oldest age bracket), and you will relationship (19% of profiles from the earliest age group).
2nd 29 common conditions on youngest and you will oldest ages groups (after subtracting new 20 most typical terms away from Figure step one).
Hypothesis Research old Differences in Language inside the Matchmaking Pages
To check on hypotheses, this new part of terminology in the relationships character that fit each LIWC category offered as the based parameters inside the regressions. We checked-out age and you can sex just like the separate parameters as well as changing for webpages and you can ethnicity.
Theory step one: Older many years is associated with a higher percentage of terms and conditions on the following the groups: first-person plural pronouns, family unit members, loved ones, fitness, and positive emotion.
Findings mainly supported Hypothesis step 1 (find Dining table dos). Five of the five regressions found a life threatening head effect to have many years, in a way that while the period of the latest profile creator enhanced, brand new percentage of terminology about category increased in the following the categories: first-individual plural, family relations, fitness, and you can confident feeling. We found zero significant age impression into the ratio out of terminology regarding friends group.
an intercourse: 0 (female) and you may 1 (male). b Website: The two other sites was indeed dictomously coded because the step one and you will 0. c Ethnicity: 0 (White) and 1 (Cultural or racial minority).
a sex: 0 (female) and 1 (male). b Site: The 2 websites were dictomously coded because the 1 and you can 0. c Ethnicity: 0 (White) and step one (Cultural otherwise racial fraction).
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