Detailed Analytics and you may Graphics away from Commonly used Words
I examined prospective differences from the webpages, geographic region, and you will ethnicity using t-screening and research from variance (ANOVA) toward LIWC classification percent. Toward one or two websites, half a dozen of the a dozen t-tests was indeed tall regarding following the categories: first-people only 1 [t(3998) = ?5.61, p Supplementary Desk dos having setting, important deviations, and you will contrasts anywhere between ethnic communities). Contrasts found high differences when considering White and all sorts of almost every other cultural organizations when you look at the four of the six significant ANOVAs. Hence, we kissbridesdate.com hyvä sivusto provided ethnicity since good dummy-coded covariate inside the analyses (0 = Light, 1 = All other ethnic teams).
Of the 12 ANOVA testing regarding geographic area, just one or two was basically high (loved ones and you can confident emotion). Since differences just weren’t theoretically meaningful, i didn’t thought geographic region from inside the next analyses.
Efficiency
Volume regarding phrase use is evident within the descriptive statistics (select Desk step 1) and you can via term-clouds. The expression-affect method illustrates one particular commonly used conditions along the whole shot as well as in each of the a long time. The definition of-affect system automatically excludes particular terms, together with articles (a beneficial, and you can, the) and you can prepositions (in order to, that have, on). The rest posts terminology try scaled in proportions relative to the volume, performing an intuitive portrait of the most common posts terminology all over the latest sample ( Wordle, 2014).
Contour 1 shows the fresh 20 popular articles terminology utilized in the complete try. As well as get noticed, the absolute most frequently employed words was indeed like (searching inside the 67% of pages), such as (lookin during the 62% out of profiles), appearing (looking into the 55% away from users), and you may some one (searching inside fifty% from pages). Hence, the preferred terms and conditions had been equivalent across the age range.
Figure dos shows next 29 typical articles conditions in the this new youngest and you may eldest a long time. By removing the initial 20 preferred content terminology across the shot, i show heterogeneity regarding the relationship pages. Next 31 words into the youngest age group, raised percentage terms incorporated rating (36% off pages in the youngest age group), wade (33% regarding profiles on the youngest generation), and performs (28% away from profiles regarding the youngest age group). However, the fresh earliest age group got high percentages out-of terms and conditions such as for instance take a trip (31% regarding profiles in the earliest generation), higher (24% of users on earliest age group), and you can relationship (19% off pages on the earliest age group).
Next 29 common words on youngest and you can oldest many years organizations (shortly after deducting the fresh 20 most common words regarding Figure 1).
Theory Comparison of age Variations in Code when you look at the Relationships Pages
To check hypotheses, new portion of terms on the matchmaking reputation that suit for every LIWC category served because the depending variables when you look at the regressions. I tested years and you may gender since the independent variables along with modifying to own website and ethnicity.
Hypothesis step 1: Earlier ages could be with the a top part of conditions about after the groups: first-people plural pronouns, members of the family, household members, fitness, and positive feeling.
Results mostly supported Hypothesis step 1 (look for Table dos). Four of the five regressions found a significant main impression getting decades, in a manner that since period of the newest profile copywriter increased, the newest portion of terminology about category increased on after the categories: first-people plural, family members, health, and you will confident emotion. We located no tall years impression to the ratio out-of terms and conditions regarding relatives class.
an excellent Gender: 0 (female) and you may step 1 (male). b Web site: Both websites have been dictomously coded just like the 1 and you can 0. c Ethnicity: 0 (White) and you will step 1 (Cultural otherwise racial minority).
a great Gender: 0 (female) and you will step 1 (male). b Webpages: Both other sites was in fact dictomously coded due to the fact step 1 and you may 0. c Ethnicity: 0 (White) and 1 (Ethnic or racial minority).