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Nimasha, Dharmawardhane & Appuhamy



       standard level than other provinces. Table 1      given below shows Cronbach’s alpha value.
           This  is  closed  to  0.7  implies  internal   Based on this table it can be stated that four
       consistency is at satisfactory level. Pearson     independent variables; delay at mobilization
       correlation  matrics  given  in  Table  2  shows   stage,unavoidable issues, import delays and
       that  all  factors  are  correlated  with  the    installation delays are significantly affected
       number  of  delayed  days  at  5%  level  of      on number of days delayed to complete the
       significance.                                     water  treatment  projects.  Since  all  VIF
                                                         values of independent variables are less than
           The results of significance of the overall
       model  is  shown  in  Table  3  .  According  to    5,  then  there  is  no  multicolinearity  among
       Table  3  overall  regression  model  is          predictor  variables.Results  of  the  residual
       significant  at  5%  level  of  significance.     analysis  were  summerized  in  following
       Further,  coefficient  of  determination  (R      Figure 3 and 4.
       squared)  is  47.2%    which  expresses  that               Table 1: Reliability test
       47.2%  of  the  total  variation  of  number  of
       days delayed can be explained by the model.        Cronbach's apha       Number of items
       All  regression    coefficients  belong  to  final
       model and corresponding Variance Inflation         0.673                 30
       Factors  (VIF)    are  displayed  in  Table  4.

                                    Table 2: Pearson correlation metrics
                                                        Unavoidable_is  ess   Planning_Proc  delay   s_Purchesing_  Local_Material  ms   Clients_Proble  n_Problems   Communicatio  llation   Delay_of_Insta  Import_delay


                                                     sues


                         y_Delayed
                                lization_stage
                            Number_of_da
                                          Agreement_pre
                                       paration_delay
                                  Delay_at_Mobi
                                               Payment_delay
                 Pearson
                 Correlatio  1   -.326  .327  -.286  .529  .465  .462  -.391  .268  -.298  -.336
        Number   n
        of day
        delayed   Sig.(2-
                 tailed)         .013  .013    .031  .000  .000  .000    .003  .044    .024   .011

                                       Table 3: Analysis of variance

        Model              Sum of Square       Df      Mean Square          F              Sig.
        Regression        524.893           4           131.223         11.643          0.000
        Residual          586.089           52          11.271
        Total             1110.982          56

                     Table 4: Regression coefficients and variance inflation factor (VIF)

        Model                                          B              T         Sig.      VIF
        (Constant)                                     62.044         15.498    0.000

        Delay at mobilization stage                    -3.155         -2.934    0.050     1.006

        Unavoidable issues                             2.021          3.374     0.000     1.147
        Import delay                                   -0.86          -2.825    0.007     1.053

        Installation delay                             2.244          -2.023    0.048     1.135



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