I checked out possible variations because of the website, geographic area, and ethnicity playing with t-tests and you will study of difference (ANOVA) with the LIWC category percentages. On a couple of websites, six of your own 12 t-screening was indeed extreme about following categories: first-person only one [t(3998) = ?5.61, p Additional Dining table dos for function, basic deviations, and contrasts anywhere between ethnic organizations). Contrasts found extreme differences between White and all sorts of most other cultural organizations in five of your own six significant ANOVAs. Thus, i included ethnicity since the an excellent dummy-coded covariate from inside the analyses (0 = White, step 1 = Virtually any ethnic organizations).

Of your own twelve ANOVA screening regarding geographic region, merely a couple of had been significant (household members and confident emotion). Since variations were not technically significant, we did not imagine geographic part from inside the next analyses.

Abilities

Regularity away from phrase play with is obvious in detailed statistics (look for Dining table step 1) and you can thru word-clouds. The term-cloud technique portrays the essential widely used words along side whole shot as well as in each of the age groups. The expression-cloud system immediately excludes particular terms, and stuff (a great, and you may, the) and you can prepositions (in order to, that have, on). The remaining content terminology are scaled in size in line with the volume, carrying out an user-friendly portrait of the very most prevalent posts words round the the latest try ( Wordle, 2014).

Contour 1 reveals the newest 20 most commonly known content terminology used in the complete try. As can get noticed, the quintessential frequently employed terminology was indeed like (searching from inside the 67% from users), particularly (searching during the 62% off users), looking (appearing from inside the 55% away from pages), and you may anyone (looking into the fifty% out of pages). Thus, widely known terms and conditions was basically comparable across age groups.

Figure 2 suggests next 30 typical blogs terminology inside the fresh new youngest and you can earliest age range. By detatching the original 20 common posts words across the attempt, we illustrate heterogeneity on dating users. Next 31 terms and conditions on youngest age bracket, high level percentage words provided score (36% from pages on the youngest generation), go (33% regarding profiles about youngest age bracket), and you may functions (28% regarding pages from the youngest age bracket). Having said that, this new earliest generation got large rates out-of terms such travel (31% out-of pages throughout the eldest age group), great (24% regarding profiles from the oldest age bracket), and you will relationship (19% off profiles throughout the eldest generation).

2nd 31 most common conditions on youngest and you can earliest decades organizations (after subtracting the fresh new 20 most common terms and conditions regarding Figure 1).

Hypothesis Research of age Differences in Words when you look at the Relationships Pages

To evaluate hypotheses, the latest part of terms in the relationship profile that suit each LIWC classification offered as the established parameters in regressions. I checked-out decades and you may gender since separate parameters along with modifying having webpages and you can ethnicity.

Theory 1: Earlier age might be of a higher percentage of terminology in the following categories: first-people plural pronouns, nearest and dearest, friends, health, and you can positive feeling.

Results largely offered Theory step 1 (find Table dos). Five of your own five regressions found a serious main feeling to have many years, in a way that given that age this new profile blogger improved, the brand new part of conditions throughout the classification increased in the following the categories: first-person plural, family, wellness, and you can confident emotion. We located zero high decades feeling into the ratio from terminology on household members class.

a beneficial Gender: 0 (female) and you will 1 (male). b Webpages: Both websites have been dictomously coded due to the fact 1 and you may 0. c Ethnicity: 0 (White) and you will step one (Cultural or racial minority).

an effective Gender: 0 (female) and you can step 1 (male). b Site: The 2 other sites kuuma Jamaikan naiset have been dictomously coded once the step 1 and you will 0. c Ethnicity: 0 (White) and you may step 1 (Cultural otherwise racial minority).