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Ng Wai Teng (2021)



                                            B          Std. Error      Beta

                    1      (Constant)          2.034         .414                     4.916      .000
                           Brand                .136         .120           .133      1.136      .258
                           Price                .241         .131           .229      1.834      .069
                           Trend                .079         .054           .139      1.456      .148
                    a. Dependent Variable: Consumer Purchasing Intention.
                                            Table 4.5: Multiple Regression – Coefficients

                         As seen from the result of Multiple Regression in Table 4.6, illustrate that all variables are not significant
                   towards the continuous, dependent variables due to their significant value are higher than 0.05. Those variables are
                   Brand (β = 0.136, sig = 0.258) , price (β = 0.241, sig = 0.069) and trend (β = 0.079, sig = 0.148).


                                                Model Summary
                                                                Adjusted R   Std. Error of the
                                Model       R       R Square     Square         Estimate
                                1            .417   a    .174          .152         .58295
                                a. Predictors: (Constant), Trend, Brand, Price

                                             Table 4.5: Multiple Regression – R Square

                          Based on table 4.5, the value of R-square is 0.174, which means that 17.4% of the variance is explained
                   by  the  independent  variables  including  of  brand,  price  and  trend.  Concurrently,  an  additional  82.6%  factors  to
                   consumer purchase intention are derived from another independent variable which is not evaluated in this research.
                   Meanwhile, the value of adjusted R square is 0.152, which means that 15.2% had been significantly explained by
                   independent variables in this study.

           4.7 Paired Samples T-test
                   Paired samples t-test has been used to evaluate the impact of the intervention (social media marketing ) on dependent
                   variable in this research. The value of sig. must be less than 0.05 to show the effectiveness of the intervention (social
                   media marketing) on dependent variable.

                                        Paired Samples Statistics
                                               Mean        N      Std. Deviation   Std. Error Mean

                    Pair 1   Pre Intervention    3.9333      120         .63323         .05781
                            Post Intervention      4.9833     120        .12856         .01174


                                                     Paired Samples Test

                                               Paired Differences

                                                           95% Confidence Interval of the
                                                                   Difference
                                                Std. Error
                           Mean    Std. Deviation   Mean      Lower       Upper        t       df    Sig. (2-tailed)
          Pair 1  Pre - Post   -1.05000   .64136    .05855     -1.16593     -.93407   -17.934    119        .000


                                   Table 4.6: Paired Sample T-test (Intervention-Social Media Marketing)

                   Referring to the paired sample t-test tables  (table 4.6), there’s  a statistically significant rise of pre-intervention
                   ( M= 3.9333, SD=0.63323) to post-intervention - Social Media Marketing (M= 4.9833, SD=0.12856). The sig (2-
                   tailed) is 0.000, indicating that the significant value is less than 0.05, implying that there is a significant difference
                   between before and after intervention – Social Media Marketing.


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