Also, i’ve work at an equivalent regression with no result of the newest sixty profiles that have been used in the latest qualitative investigation stage to make the fresh codebook. The outcomes of your own regression with only the new 248 pages is comparable: incorporating stylistic possess first taken into account 19.3% of one’s difference into the originality, F(6, 241) = 9.59, p 2 = .193, followed closely by brand new thinking-disclosure has one said a supplementary 17.3%, F(5, 236) = , p dos = .173. Just as the results with all profiles integrated, the new direction-bringing features failed to contribute significantly toward model, F(cuatro, 232) = step 1.18, p = .321, R dos = .013.
Talk
The purpose of the message investigation would be to get skills to the exactly what character text services you will definitely foster confident perceptions of reputation text originality. To accomplish this, all of the messages was in fact coded to the an abundance of textual enjoys one had been computed according to a primary stuff study and might getting predictors from thought of profile text originality. Each element fits one of several three text function classes i prominent, which is, stylistic enjoys, self-revelation comments, otherwise position-delivering features. We after that went regression analyses to identify featuring expect thinking of text originality, because scored by the participants about impact data.
All of our efficiency show that mainly this new stylistic and you can mind-disclosure has actually were coordinated seriously having imagined text message creativity scores and you can informed me the difference in the originality ratings. For stylistic features, our very own findings show that users you to definitely rating higher on detected reputation text message originality are more inclined to include one or more repaired otherwise unique metaphors.