suggestion informed the opening question in section C and the subsequent ones here as well since finding out about employment status and their ages of employment was, as a result, respondents’ helpful in confirming this literature finding through the questionnaires. Below is the frequency analysis of the responses where represents the shows the number of the ‘N’ number; ‘valid’ people under study that answered the question and represents the people that declined ‘missing’ to respond to the question. From Table 6.14, it can be seen that all 75 respondents answered the question where 66 at 88 percent could be counted as answering they were in current ‘yes’ construction employment as against 9 at 12 percent who answered Figure 6.10 ‘no’. presents the same information in a graphically presentable and easily readable manner for ease of reference, a practice which was repeated for other results displayed. Table 6.14: employment status Respondents’ Frequency Percent Valid Yes 66 88.0 No 9 12.0 Total 75 100.0 Figure 6.10: Employment status of respondents The analyses in table and figure have shown the employment status of the respondents. 6.14 6.10 Hence, this brings into focus the nature of the job being undertaken and the age of entry into construction. These are factors identified from literature as significant reasons also accounting for reasons why BMEs remain underrepresented in the industry. Therefore, the subsequent questions on job title and age into construction will be cross-tabulated with working full for ‘currently time’ results to see if there is a link between these factors in order to confirm literature or otherwise. The results are as shown in figure 6.11. Figure 6.11: into and working full ‘Age construction’ ‘currently time’ Figure shows that the respondents who were not employed full time happen to be in the 6.11 younger age bracket with the majority being between the ages of 18 and 25 years at about 6.67 percent compared with 2.67 percent in both successive young age groups as indicated above.
suggestion informed the opening question in section C and the subsequent ones here as well since finding out about respondents’ employment status and their ages of employment was, as a result, helpful in confirming this literature finding through the questionnaires. Below is the frequency analysis of the responses where ‘N’ represents the number; ‘valid’ shows the number of the people under study that answered the question and ‘missing’ represents the people that declined to respond to the question. From Table 6.14, it can be seen that all 75 respondents answered the question where 66 at 88 percent could be counted as answering ‘yes’ they were in current construction employment as against 9 at 12 percent who answered ‘no’. Figure 6.10 presents the same information in a graphically presentable and easily readable manner for ease of reference, a practice which was repeated for other results displayed. Table 6.14: Respondents’ employment status Frequency Percent Valid Yes 66 88.0 No 9 12.0 Total 75 100.0 Figure 6.10: Employment status of respondents The analyses in table 6.14 and figure 6.10 have shown the employment status of the respondents. Hence, this brings into focus the nature of the job being undertaken and the age of entry into construction. These are factors identified from literature as significant reasons also accounting for reasons why BMEs remain underrepresented in the industry. Therefore, the subsequent questions on job title and age into construction will be cross-tabulated with ‘currently working full time’ for results to see if there is a link between these factors in order to confirm literature or otherwise. The results are as shown in figure 6.11. Figure 6.11: ‘Age into construction’ and ‘currently working full time’ Figure 6.11 shows that the respondents who were not employed full time happen to be in the younger age bracket with the majority being between the ages of 18 and 25 years at about 6.67 percent compared with 2.67 percent in both successive young age groups as indicated above.
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