Institute of Art, Design + Technology
Browse

Online infidelity: Aspects of self-disclosure, narcissism, self-esteem and Internet addiction

Download (1.26 MB)
thesis
posted on 2024-07-09, 12:53 authored by Philip Penny

This study explored the possibility that people who spend longer amounts of time online are more likely to engage in online infidelity. It was also expected that participants who engaged in online infidelity would record lower levels of self-esteem. Sixty seven participants involved in 'real life' relationships were recruited online and completed a questionnaire pack that included, Jourard Self-Disclosure Questionnaire (JSDQ) to assess levels of self-disclosure between partners, Narcissistic Personality Inventory (NPI) to assess Narcissism, Internet Relationship Expectations (IRI) to assess expectations of an online relationship, Internet Addiction Test (IAT) to assess levels of lnternet dependence and the Rosenberg Self-Esteem Scale (1965) (RSES) to assess self-esteem levels. A questionnaire design was employed, testing sixty seven participants recruited over the Internet. Results showed that scores recorded on the Internet Addiction Test were significant predictors of online infidelity expectations. All other measures scored did not predict higher expectations of an Internet relationship. The significant finding that individuals recording high levels of Internet addiction on the Internet Addiction Test are more likely to engage in online infidelity in the present study forms the basis for further psychological research on this multifaceted growing phenomenon. Additional findings deriving from the results are discussed.


History

Research Area

  • Cyberpsychology

Faculty

  • Faculty of Film, Art & Creative Technology

Thesis Type

  • Postgraduate Thesis

Supervisor

Dr Grainne Kirwan

Submission date

2009

Format

PDF

Contributor affiliation

Institute of Art, Design & Technology

Usage metrics

    MSc in Cyberpsychology

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC