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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS
3.2.7 Data Analysis of Construction Faults
JANURAY 2011
VOL 2, NO 9
As shown in Table 2 eight major types of construction faults were identified. Within each of
these eight major construction faults several sub-attributes were listed. The respondents were
then asked to rank these sub-attributes from 1 to 5 according to their perceptions on the
implication of these sub-attributes to the maintenance of the building. The value of 5
indicates ‗strong implication‟ and the value of ‗1‘ indicated ‗no implication‟. This means that
the higher the value of the mean score the stronger would be the implication level and viceversa.
3.2.8 Faults at Construction Phase
The respondents perceived ten (08) types of faults could be present during the construction
phase. These faults are listed in Table 6 below. Among these, the fault due to „Lack of top
supervision by designer‟ was highly perceived to contribute to the maintenance problem with
an average mean implication score of 4.70. On the second spot with highly perception of
implication on the maintenance is ‗Inadequate waterproofing and slope design‘ which
registered a mean of 4.65. Lack of communication was not found to develop significant
perception since the fault ‘Lack of communication between contractor and designer‟ only
registered a mean of 4.05.
Table 6: Mean Score of Users Perceptions towards Faults at Construction Phase
Faults at Construction Phase
Mean score Overall
Tenant Owner
Mean Score
1. Supervision by designer 4.90 4.88 4.70
2. Waterproofing and slope design 4.76 4.52 4.65
3. Supervision management Rule 4.71 4.64 4.55
4. Conditions of painted surfaces 4.57 4.64 4.50
5. Condition of plaster surface
4.05 4.48 4.44
6. DPC at various surfaces 3.86 4.24 4.33
7. Loss of adhesion between materials
3.48 3.64 4.07
8. Communication between contractor and designer
3.86 4.64 4.05
3.2.9 INVESTIGATION OF SIGNIFICANT DIFFERENCE OF RESPONDENTS
PERCEPTION TOWARDS DESIGN FAULTS BETWEEEN CATEGORIES.
In this study an investigation was also made to determine if there is any difference between
the perceptions of the two groups of user‘s respondents, i.e. tenants and the owners on each of
the seven main architectural design fault designs (Table 4).
Towards this end null hypothesis tests using the analysis of variance method (ANOVA) were
conducted with the assumption that there is no difference in the mean perception between the
two categories of respondents. The results of these tests are presented in Table 7.
The results of the tests shows that overall there is no significance difference in opinion among
two groups of users respondents results. Both owners and tenants are agreeing that on
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