2007 Annual International CHRIE Conference & Exposition
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1
2
3
4
5
6
Phase 1
Phase 2
Phase 3
Phase 4
Mean
Pay
Working Conditions
Creativity
Two clear trends are apparent in Figure 3. First, the moving trends for the three factors of pay, working
conditions and creativity across the four phase career design differ. Satisfaction with pay seems to increase from the
occupational selection and occupational socialisation phases through to the organisational and occupational
satisfaction phases. The same general trend is evident for working conditions, although the phrasing of the phase 2
‘working condition’ item has convoluted this trend pattern. Conversely, the creativity factors appear to show a
downward decline across the four phase career design. Figure 3. shows a second pattern. While both the working
conditions and pay factors register modest means across the career phase design, the creativity factors consistently
score high means. This is also highlighted by the individual means, prior to grouping, shown in Table 1. To further
illustrate this point the data was transformed again to create cumulative scores for the three constructs of pay,
working conditions and creativity. Factor loaded the 15 creativity items returned a reliability alpha of .911. Hence, a
cumulative creativity/ artistic construct (C/A) was created. The four pay factors were loaded to gain a reliability
alpha of .790 for the cumulative pay construct. However, the working condition factors presented a challenge. The
item from phase 2, ‘
the working conditions are hard
’ was deleted, but still a low alpha of .388 for cumulative
working conditions resulted. Nonetheless, these cumulative constructs were retained for two comparative exercises.
First, the three cumulative scores were split by gender and the results are. Interestingly, the data suggest
that there may be differences between the genders on these constructs. The cumulative C/A measure is higher for
females (5.15) than for males (4.99). There also appears a gender difference for the cumulative pay and working
condition scores. For working conditions males recorded 3.38 as against 3.59 for the females in the sample, and for
pay males registered a mean of 3.09 compared to 3.65 for females. These findings suggest that females in the sample
may be more satisfied with working conditions and pay than males, and also place a higher value on the C/A
construct. The second comparative exercise investigated the relationship between creativity and ‘intention to quit’.
When the cumulative creativity score was cross-tabulated with ‘intention to quit’ some interesting findings
presented. Respondents that scored
m
≥
5 on their cumulative creativity score and indicated either a ‘very unlikely’ or
‘unlikely’ ‘intention to quit’ their current job, in the near future represented 46% of the sample. For ‘intention to
quit’ their occupation those respondents that scored
m
≥
5 on their cumulative creativity score and indicated either a
‘very unlikely’ or ‘unlikely’ represented 50% of the sample. A Chi-square significance of .003 was found for
‘intention to quit’ current job but given the small cell counts when reducing the data no significance was found for
current occupation (.106). These findings suggest there may be a positive relationship between creativity and job
and occupational satisfaction.
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