Personality as a predictor of facebook engagement

5.00
Hdl Handle:
http://hdl.handle.net/2436/297315
Title:
Personality as a predictor of facebook engagement
Authors:
Orchard, Lisa
Abstract:
Research suggests that personality may dictate specific Internet behaviours or preferences. However, literature to date has been piecemeal and has tended to focus on generic use. One area that remains relatively unexplored is the influence of personality on engagement with social networking sites (SNSs). The current thesis aims to fill this gap by exploring the influence of personality on motivations for using SNSs and behavioural patterns within them. Eysenck’s EPQ-R short form (extraversion, neuroticism and psychoticism) and Beck’s SAS (sociotropy and autonomy) were used to explore personality, both globally and specifically. Phase one of the thesis employs a ‘uses and gratifications’ framework to investigate how personality may predict motivations for using SNSs. Principal component analysis identified ten distinct motivational components, which were then successfully predicted by personality variables through regression analyses. It is therefore suggested that differing personality types vary greatly in their reasoning behind SNS usage. Results support theoretical assumptions. Phase two of the research looked at Facebook behaviours and profile construction. A content analysis of participant profiles was conducted with the help of questionnaire methodology. Data analysis suggests that personality was not a particularly strong predictor of self-presentational differences in this context; although subtle differences were present. The final phase of the research explored the perceived Facebook experience of users. A thematic analysis of an online student discussion board was conducted in order to generate distinct themes surrounding Facebook outcomes. These were used within Q Methodology to generate a concourse, through which Q sort statements were derived. Results generated four shared viewpoints of the Facebook experience, which were subsequently associated with personality through the use of traditional R methods. Again, although not particularly strong, theoretically supported associations can be seen. The thesis explores personality within SNS use in a depth previously unexplored. The conclusion makes theoretically-sound assumptions surrounding personality and SNS use as a media choice.
Advisors:
Fullwood, Chris; Morris, Neil; Galbraith, Niall
Publisher:
University of Wolverhampton
Issue Date:
Mar-2013
URI:
http://hdl.handle.net/2436/297315
Type:
Thesis or dissertation
Language:
en
Description:
A thesis submitted
Sponsors:
RCAS
Appears in Collections:
E-Theses

Full metadata record

DC FieldValue Language
dc.contributor.advisorFullwood, Chrisen_GB
dc.contributor.advisorMorris, Neilen_GB
dc.contributor.advisorGalbraith, Niallen_GB
dc.contributor.authorOrchard, Lisaen_GB
dc.date.accessioned2013-08-02T15:57:52Z-
dc.date.available2013-08-02T15:57:52Z-
dc.date.issued2013-03-
dc.identifier.urihttp://hdl.handle.net/2436/297315-
dc.descriptionA thesis submitteden_GB
dc.description.abstractResearch suggests that personality may dictate specific Internet behaviours or preferences. However, literature to date has been piecemeal and has tended to focus on generic use. One area that remains relatively unexplored is the influence of personality on engagement with social networking sites (SNSs). The current thesis aims to fill this gap by exploring the influence of personality on motivations for using SNSs and behavioural patterns within them. Eysenck’s EPQ-R short form (extraversion, neuroticism and psychoticism) and Beck’s SAS (sociotropy and autonomy) were used to explore personality, both globally and specifically. Phase one of the thesis employs a ‘uses and gratifications’ framework to investigate how personality may predict motivations for using SNSs. Principal component analysis identified ten distinct motivational components, which were then successfully predicted by personality variables through regression analyses. It is therefore suggested that differing personality types vary greatly in their reasoning behind SNS usage. Results support theoretical assumptions. Phase two of the research looked at Facebook behaviours and profile construction. A content analysis of participant profiles was conducted with the help of questionnaire methodology. Data analysis suggests that personality was not a particularly strong predictor of self-presentational differences in this context; although subtle differences were present. The final phase of the research explored the perceived Facebook experience of users. A thematic analysis of an online student discussion board was conducted in order to generate distinct themes surrounding Facebook outcomes. These were used within Q Methodology to generate a concourse, through which Q sort statements were derived. Results generated four shared viewpoints of the Facebook experience, which were subsequently associated with personality through the use of traditional R methods. Again, although not particularly strong, theoretically supported associations can be seen. The thesis explores personality within SNS use in a depth previously unexplored. The conclusion makes theoretically-sound assumptions surrounding personality and SNS use as a media choice.en_GB
dc.description.sponsorshipRCASen_GB
dc.language.isoenen
dc.publisherUniversity of Wolverhamptonen
dc.subjectSocial networking sitesen_GB
dc.subjectSociotropyen_GB
dc.subjectUses and gratificationsen_GB
dc.subjectQ Methodologyen_GB
dc.titlePersonality as a predictor of facebook engagementen_GB
dc.typeThesis or dissertationen
dc.type.qualificationnamePhDen
dc.type.qualificationlevelDoctoralen
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