We checked-out prospective variations because of the webpages, geographical part, and you can ethnicity using t-testing and you can investigation regarding variance (ANOVA) on LIWC classification proportions. With the two other sites, six of one’s several t-assessment was basically extreme in the following categories: first-person singular [t(3998) = ?5.61, p Secondary Dining table 2 getting form, standard deviations, and you will contrasts between ethnic organizations). Contrasts shown tall differences when considering White as well as almost every other ethnic teams inside the four of one’s six high ANOVAs. Hence, we included ethnicity once the an effective dummy-coded covariate within the analyses (0 = White, 1 = Virtually any cultural organizations).
Of 12 ANOVA examination regarding geographic area, simply a couple was indeed tall (loved ones and you may confident feeling). Just like the differences just weren’t commercially meaningful, i failed to consider geographical part within the then analyses.
Abilities
Regularity away from keyword have fun with goes without saying when you look at the descriptive analytics (come across Desk step 1) and you will via phrase-clouds. The term-affect method portrays the most widely used conditions along side whole decide to try and in all the age groups. The phrase-cloud program immediately excludes specific terminology, along with posts (good, and you can, the) and you will prepositions (so you’re able to, with, on). The rest articles conditions try scaled in proportions according to the frequency, carrying out an intuitive portrait of the very most common posts conditions around the this new test ( Wordle, 2014).
Shape step 1 shows the latest 20 typical stuff conditions found in the complete sample. As well as get noticed, more commonly used terms was in fact love (looking inside the 67% away from users), such (searching in the 62% from profiles), searching (searching within the 55% out of profiles), and you can people (searching when you look at the fifty% away from profiles). Hence, the most used terms and conditions was in fact equivalent around the a long time.
Contour dos shows the following 31 popular articles terms and conditions inside the this new youngest and eldest age groups. By removing the initial 20 preferred articles conditions along side test, we instruct heterogeneity on the relationships pages. Within the next 30 terms towards the youngest age group, high level percentage conditions included score (36% away from profiles throughout the youngest age bracket), wade (33% away from pages in the youngest age bracket), and you may works (28% out of pages throughout the youngest age group). In hop over to this web site contrast, new oldest generation got highest percentages out-of terms and conditions including traveling (31% of profiles about eldest generation), higher (24% regarding users about oldest generation), and you can dating (19% away from users on earliest age group).
2nd 31 typical conditions regarding youngest and you will eldest decades organizations (once deducting the brand new 20 most typical terms and conditions off Contour 1).
Theory Research old Variations in Words inside Relationship Pages
To test hypotheses, this new part of terms regarding dating reputation that suit per LIWC class offered just like the founded variables for the regressions. We examined years and you can gender because the separate details also modifying for website and you can ethnicity.
Hypothesis 1: Elderly age could be for the a top portion of terminology from the after the kinds: first-individual plural pronouns, family relations, loved ones, fitness, and you may confident emotion.
Conclusions mainly supported Theory step one (see Table dos). Five of your own four regressions found a life threatening fundamental impression getting age, in a way that since the ages of new character journalist enhanced, new portion of terms on category increased in the following categories: first-individual plural, members of the family, fitness, and you can self-confident feeling. I receive no extreme decades feeling for the ratio away from terms and conditions regarding the family members class.
good Gender: 0 (female) and you can step 1 (male). b Web site: The two other sites was indeed dictomously coded just like the step one and you will 0. c Ethnicity: 0 (White) and you will step 1 (Cultural or racial minority).
a Gender: 0 (female) and you may step 1 (male). b Webpages: The two websites had been dictomously coded just like the step one and 0. c Ethnicity: 0 (White) and you can step 1 (Cultural or racial fraction).