Udvælgelses- dan og tildelingskriter ske byggesektor ... - RenProces

A Diverse Understanding of Value in the Building Industry 187
To ensure a satisfying result of the survey, a lot of effort was put into
optimizing the questionnaire before distribution. Firstly, the questionnaire
was reviewed among colleagues, and the wording of the questions was
carefully considered to avoid any misleading and misunderstanding of
questions. It should be mentioned that the questionnaire was originally
written in Danish, and afterwards translated into English for academic use.
Secondly, the questionnaire was pre-tested on four selected respondents,
who were later telephone interviewed in order to bring about any
misunderstandings.
The population was theoretically all practitioners in the Danish
building industry. When choosing the sample, the aim was to have between
25-30 respondents in each of the six groups of company types, resulting in
a total sample of approximately 150. The sample was randomly chosen
from industry databases (Bygherreforeningen 2005; Danskbyggeri 2005;
FRI 2005; PAR 2005) and from yellow pages. Semi-personalized cover
letters were made in the survey program (PHPSurveyor 2005), and the
survey webpage was created. The survey was carried out anonymously
through the use of tokens.
1.4.2 Data Analysis and Results
The analysis was carried out in two main steps (Forza 2002). Firstly, a
preliminary analysis was carried out. The purpose was to validate the
sample in terms of internal coherence and in terms of how well the sample
mirrors the population.
After the preliminary analysis, hypothesis testing was carried out. In
this paper some general traits from the collected data is reported. The
method is to combine the Likert scale questions with the demographic data.
The data was analysed by using (SPSS 2006). Primarily, a bivariable
correlation analysis test such as spearman’s rho is applied. Furthermore,
ratings from the Likert scales have been divided accordingly to the
demographic data. It should be mentioned that data from the Likert
questions has been treated as belonging to an interval scale. The reason
for treating Likert data as an interval scale and not as an ordinal scale is
that a high number of the answers are skew on a normality graph. The
correct way to analyse ordinal data is to look at, e.g. mode. In this survey,
when analysing the mode of different data set grouped according to
different demographic data, the mode is often the same. It would have
been appropriate to increase the Likert scale to contain, e.g. 7 categories.
Anyway, focus will now be on the preliminary analysis. The respond
rate can be an indication of how well the survey has been designed and an
indication of the relevance of the research question in mind. The response
rate, R, is calculated to 46% according to equation (1.1) (de Vaus 1993 p.
107).
Nreturned
R = (1.1)
N N
sample
ineligible + unreachable
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