Data Analysis And Interpretation Of Data

2590 Words Apr 17th, 2015 11 Pages
CHAPTER FOUR
DATA PRESENTATION AND ANALYSIS Introduction
In this Chapter, the researcher engages in the presentation, analysis and interpretation of data collected using questionnaire which were administered in line with the objective of the study. Data including gender, occupation, types of accommodation, and opinion of respondents on the risk management strategies of residential building projects in Lagos state are discussed. The data is collated in a bid to providing answers to the aforementioned research questions stated in chapter one, and to determine the risk management strategies which can be adopted in residential building projects which is the explicit aim of this research. The data was presented and analyzed using descriptive
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Table 4.1 shows the number of questionnaires distributed to and retrieved from the selected contractors. Copies of the questionnaire were distributed to some of the professionals who in full capacity are engaged in one form of construction project or the other. The reason for this was to get a direct feedback as pertaining to the accomplishment of the set objectives outlined in this research. At the end of the exercise, 25 out of 30 Civil engineers (representing 83.3%), 6 out of 6 Architects, and 14 out of 14 Builders filled and returned the questionnaire. In total, 90.0% of the total questionnaire distributed where retrieved and this was accomplished by the personal efforts of the researcher.
Respondent’s Sex Distribution

Sex
Frequency
Percentage
Male 41 91.1
Female 4 8.9

Total
45
100
Source: Author’s Field Survey, 2015.
Table 4.2 reveals that 91.1% of the respondents were male, while 8.9% were female. Many of the respondents were male and may be in connection to the fact that the profession is dominated by men and only few women engage themselves in such profession.
Age distribution of the respondents
The attempt here was to establish the disparity in ages of respondents in order to ascertain whether or not the respondents were mature enough and opinions volunteered by respondents in the study area will be reliable.

Age (years)
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