Analysis of Surveyors: Primary source of data collection through a well-structured questionnaire was administered to relevant and appropriate professionals in the construction industry. The population were the Nigerian construction professionals that are eligible to participate in the research and they are: Architects; Quantity surveyors; Builders; Engineers; and Estate Surveyors and Valuers. Due to a large population as identified above, the sampling frame was delimited to Lagos state of Nigeria where research questionnaires were distributed.
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The choice is on the premise that Lagos is the commercial capital city of Nigeria and most of the construction professionals in this state handle projects in other states of the federation. Fagbemi (2008) observed that 75% of quantity surveying firms in Nigeria is either based in Lagos state or have their branches located there. The result of the study is expected to represent the whole population. More so, the list of professionals were obtained from relevant
professional bodies and the sample size in respect of the various categories of respondents was determined from the following formulae as used by Kish (1965) in Shash and Abdul-hadi (1993)
1 + ni -------------------------------- (1)
Where n=sample size
ni = S2 -------------------------- (2)
N = Total population, V = Standard error of sampling distribution = 0.05,
S = the maximum standard deviation in the population elements
Using the formulae, the sample sizes for each of the respondents were calculated and the result is as shown in table 2. Out of the 265 questionnaires administered, 94 were returned and filled, this represent 35.5% of the total questionnaire sent out which is considered sufficient for the study base on the assertion of Moser and Kalton (1999) that the result of a survey could be considered as biased and of little significant if the return rate was lower than 20-30%. More so, 12 construction professionals cutting across all the professional bodies were also interviewed.
Tables were employed in this research for data presentations and analysis of the
collected data was carried out usingN
the following descriptive and inferential statistical methods: frequencies; percentiles; cronbach’s alpha test; and mean internal score (MIS). Journal of Building Performance ISSN: 2180-2106 Volume 1 Issue 1 2010 Universiti Kebangsaan Malaysia The Institution of Surveyors Malaysia Page 67 Cronbach’s alpha test was used in testing the reliability and viability of the research.
Cronbach’s α value for scale of measures of the research instruments is 0.501. Since the degree of reliability of the instrument is more perfect as the value tends towards 1.0 (Moser and Kalton, 1999), it can then be concluded that the instruments used for this research are significantly reliable.