März 26 2025
Descriptive Statistics and you may Illustrations or photos off Commonly used Terms
I checked potential differences by webpages, geographical part, and you may ethnicity having fun with t-testing and you can study from variance (ANOVA) on LIWC category rates. To the a couple of websites, half dozen of the several t-testing have been extreme regarding the following the classes: first-person just one [t(3998) = ?5.61, p Secondary Dining table dos for means, important deviations, and you will contrasts between ethnic teams). Contrasts found high differences between White as well as almost every other cultural communities during the four of your own six significant ANOVAs. For this reason, we included ethnicity since the a great dummy-coded covariate when you look at the analyses (0 = White, step 1 = Some other ethnic teams).
Of twelve ANOVA evaluation associated with geographical region, just a few have been extreme (household members and you may positive feelings). As differences were not technically meaningful, i don’t consider geographic area during the after that analyses.
Results
Frequency off term fool around with is evident in detailed analytics (come across Dining table 1) and you can via term-clouds. The term-cloud strategy portrays probably the most widely used conditions over the entire take to and in all the age range. The expression-cloud system automatically excludes certain words, including stuff (an effective, and, the) and you will prepositions (so you’re able to, having, on). The rest content words try scaled in proportions in accordance with its regularity, creating an user-friendly portrait of the most prevalent articles terms and conditions around the new take to ( Wordle, 2014).
Figure step one reveals the fresh new 20 popular posts words found in the entire shot. As can be seen, by far the most frequently used terms and conditions was indeed love (lookin from inside the 67% from profiles), including (lookin from inside the 62% off profiles), appearing https://kissbridesdate.com/adultfriendfinder-review/ (lookin inside the 55% away from users), and you may somebody (lookin inside the fifty% out-of users). Hence, the best terms was in fact similar round the a long time.
Contour dos shows the next 31 most commonly known posts words for the new youngest and you will earliest age range. By eliminating the initial 20 common articles words along side attempt, we show heterogeneity regarding the matchmaking pages. Next 31 terminology on the youngest age bracket, significant number terminology incorporated score (36% off pages in the youngest generation), wade (33% away from users from the youngest age group), and you can really works (28% of pages regarding youngest age group). However, the earliest generation had highest rates out-of conditions for example travelling (31% out of profiles on the earliest age bracket), higher (24% from pages in the earliest age bracket), and you will dating (19% away from pages regarding the eldest age group).
Next 29 most common words in the youngest and you can oldest years groups (after deducting the new 20 most commonly known terminology of Profile step 1).
Hypothesis Evaluation of age Variations in Vocabulary inside Dating Profiles
To evaluate hypotheses, the new part of words regarding the relationships character that suit per LIWC classification supported once the situated parameters when you look at the regressions. I checked decades and you can gender due to the fact independent variables in addition to changing having site and you may ethnicity.
Hypothesis 1: Elderly decades would be in the a high portion of terms on pursuing the classes: first-individual plural pronouns, household members, members of the family, wellness, and you can positive feeling.
Results mainly served Theory step one (select Table dos). Five of one’s four regressions revealed a critical main perception to possess years, such that because the age the new character publisher enhanced, new part of terms and conditions on group enhanced in the after the categories: first-person plural, loved ones, wellness, and you may self-confident emotion. We receive zero significant age perception into the ratio out of words regarding loved ones category.
a Gender: 0 (female) and 1 (male). b Web site: The two other sites was dictomously coded given that step 1 and you can 0. c Ethnicity: 0 (White) and you may step one (Ethnic or racial minority).
an excellent Gender: 0 (female) and you can 1 (male). b Site: Both other sites was indeed dictomously coded due to the fact 1 and you may 0. c Ethnicity: 0 (White) and you may 1 (Ethnic otherwise racial minority).
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