The purpose of this study was to investigate the relationship between achievement
motivation and job satisfaction. The impact of demographic data (i.e. race, gender,
age and tenure) on both achievement motivation and job satisfaction was also
examined.
For the purpose of this study a quantitative, non-probability convenience sampling
design was used. Data was collected by means of a biographical questionnaire, The
Achievement Motivation Questionnaire and Warr, Cook and Wall's Job Satisfaction
Questionnaire. Questionnaires were administered to 63 employees of a retail
organisation. The respondents comprised of managers, cashiers, clerks and general
assistants.
Results indicate that there is a positive relationship between the dimensions of job
satisfaction and the dimensions of achievement motivation.
Goal directedness is not significantly different between the categories of age, tenure
and gender but shows a significance difference amongst race groups with Blacks
having the lowest mean score. Personal excellence is not significantly different
between the categories of age, tenure, race and gender. Achievement motivation is not
significantly different between the categories of age, tenure and gender but shows a significance difference amongst race groups with Blacks having the lowest mean
score.
Overall job satisfaction is not significantly different between the categories of age,
tenure, race and gender. Intrinsic job satisfaction is not significantly different between
the categories of age, tenure and gender but shows a significance difference amongst
race groups with Blacks having the lowest mean score. Extrinsic job satisfaction is not
significantly different between the categories of age, tenure, race and gender.
It is recommended that a proportionate stratified sample be utilised for future
research. / Thesis (M.A.)-University of KwaZulu-Natal, Durban, 2012.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/9297 |
| Date | January 2012 |
| Creators | Beekhan, Anya. |
| Contributors | Meyer-Weitz, Anna. |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | English |
| Type | Thesis |
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