The presented diploma thesis focuses on the person-centered approach in personality research and on the possibilities of predicting behavior in the online environment. The theoretical part defines different approaches to personality descriptions, with a special focus on the person-centered approach, variable-centered approach, and person-specific approach. The outputs of thematically relevant research studies are also summarized here. The empirical part describes the exploratory research, which aimed to examine the possibility of predicting the personality type of LinkedIn users in the context of the person-centered approach, based on an analysis of their profile and behavior associated with this professional social network. The standardized HEXACO-PI-R and 4Elements Personality Inventory® questionnaires were used in the research. Cluster analysis was performed on data from 118 participants who filled out the 4Elements Personality Inventory®. Based on that, 4 clusters that describes 52,2 % of the variance were formed. Furthermore, using multinomial logistic regression, two models predicting the probability of a person belonging to a certain cluster based on information about predictors were created. Another cluster analysis was performed on the data from HEXACO-PI-R, which created 6 clusters that...
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:448857 |
| Date | January 2021 |
| Creators | Fousková, Petra |
| Contributors | Höschlová, Eva, Lukavský, Jiří |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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