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STS419 Zuraeda Ibrahim et al.
                     Table 3: Summary of Results of Discriminant Validity using Fornell and Larcker’s (1981)
                                                   technique
                    Construct     (1)        (2)         (3)         (4)           (5)
                       (1)       .790
                       (2)       -.221      1.000*
                       (3)       .667        .064       .773
                       (4)       .263        .086       .378        .776
                       (5)       .279       -.183       .421        .331          .903
                  Note: (1) = Perception; (2) = Knowledge; (3) = Acceptance; (4) = Refusal; (5) = Islamic Investment
                  Account; The value in the diagonal (bold) is a square root of the AVE of each construct and the
                  element off the diagonal value is the inter correlation value between constructs; *Single item
                  measurement.

                     Referring  to  Table  3  above,  it  is  confirmed  that  the  valid  measurement
                  model has adequate discriminant validity since all off-diagonal elements are
                  lower than square roots of AVE for each construct.  Results from discriminant
                  validity using cross loading technique (not presented here) also demonstrated
                  that all measurement items loaded higher against their respective intended
                  latent variable compared to other variables. Therefore, it can be concluded
                  that the measurement model has established its discriminant validity based on
                  Fornell and Larcker’s (1981) criteria and also on the cross loading assessment
                  criteria.
                     As a conclusion, the reliability and validity of the measurement models were
                  satisfactory and all items in this measurement model were valid and fit to be
                  used  to  estimate  the  parameters  in  the  structural  model.  The  next  section
                  shows the assessment of  the structural model of  the measurement model.
                  Next, after computing the path estimates in the structural model, a bootstrap
                  analysis  was  performed  to  assess  the  statistical  significance  of  the  path
                  coefficient  in  the  structural  model.  The  results  are  summarized  in  Table  4
                  below.

                       Table 4: Summary of the Path Coefficient and Hypothesis Testing for Direct Effects
                               Path      Path Coefficient     t-statistic     Supported
                   Perception →
                   Islamic Investment        -0.131             0.62             No
                   Account
                   Knowledge →
                   Islamic Investment        -0.259             1.80             No
                   Account
                   Acceptance →
                   Islamic Investment         0.442            2.45*             Yes
                   Account
                   Refusal →
                   Islamic                    0.221             1.34             No
                   Investment
                   Account
                  Note: * The path coefficient is significant at 95% significance level (t > 1.96).


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