Psychological type and cognitive style as antecedents of computer attitude components.

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dc.contributor.authorFuller, Beverly Dawn
dc.date.accessioned2018-07-03T10:17:15Z
dc.date.available2018-07-03T10:17:15Z
dc.date.issued1997
dc.descriptionA Dissertation submitted to the Department of Psychology, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the Degree of Master of Arts.en_ZA
dc.description.abstractThe current research report seeks to investigate the relationship between psychological type/cognitive style, and computer attitude components, namely computer anxiety. computer confidence, and computer liking, in a sample of full-time banking employees. Psychological type is assessed by means of the dichotomous preferences of extraversion-introversion (E-I), thinking-feeling (T-F) , and sensing-intuition (S-N), based on Jungian personality theory, and operationalised by the Myers Briggs Type Indicator. The T-F and S-N preferences, being mental processes 0'1 judging or perceiving, may also be interpreted as cognitive styles. Pertinent to the current investigation is the impact that certain demographic variables have on computer attitudes, in terms of their relationship with, and their ability to predict computer attitudes. Research results provide moderate support for the proposed hypotheses. No relationship was found between the extraversion-introversion preference and computer attitudes. People with a sensing preference exhibited more positive attitudes towards computers than people with an intuition preference, People with a thinking preference indicated less computer anxiety and more positive computer attitudes as a whole than their feeling counterparts. No relationship was found between the T- F preference and computer liking or confidence. Age and previous computer experience were found to have the strongest relationships with computer attitudes, suggesting that these two demographics could predict computer attitudes more effectively and conclusively than personality variables. No relationships were found for gender differences and computer attitudes, contrary to previous research.en_ZA
dc.description.librarianAndrew Chakane 2018en_ZA
dc.identifier.urihttps://hdl.handle.net/10539/24715
dc.language.isoenen_ZA
dc.subjectComputers -- Psychological aspects.en_ZA
dc.subjectBank employees -- Effect of automation on -- South Africa.en_ZA
dc.subjectTypology (Psychology)en_ZA
dc.titlePsychological type and cognitive style as antecedents of computer attitude components.en_ZA
dc.typeThesisen_ZA
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