This master thesis investigates linkage between personality characteristics and digital records on the Internet. The theoretical part is focused on selected theories of personality traits, brief description of social networks and on current studies connected with relationship between digital records and personality characteristics. Empirical research is dedicated to test interdependences between user profiles at the LinkedIn and Hogan's MVPI and HDS using the research sample (N=238, after reduction N=129 due to limited number of LinkedIn users). Based on LinkedIn data which were reduced to 6 new variables, results describe statistically significant models predicting scores for some scales of MVPI and HDS. However, maximum adjusted R2 was only 15,5% for the best regression model which was predicting Altruistic scale (MVPI).
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:398100 |
| Date | January 2019 |
| Creators | Šťastná, Markéta |
| Contributors | Stehlík, Luděk, Niederlová, Markéta |
| 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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