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Awareness 1. I am aware of fraudulent dietary supplements. 3 0.816
2. I am aware of the side effects if I consume fraudulent dietary
supplement.
3. I am aware of the existence of fraudulent dietary supplement in
the market.
Consumers’ 1. I definitely do not intend to consume fraudulent dietary 4 0.887
Intentions supplements in the future.
2. I do not have any plan to consume fraudulent dietary
supplements.
3. I would advise others to avoid consume fraudulent dietary
supplements.
4. I will not be interested to consume fraudulent dietary
supplements.
Table 4.6 above indicates the result of reliability test for this research which is within acceptable range as shown in Table 4.5, rule of thumb
of the strength. Thus, it can be concluded that all the variables are acceptable and reliable in this research.
4.6 Multicollinearity Analysis
Based on Daoud (2018), multicollinearity is referring to the statistical phenomenon in which two or more variables in a multiple regression
model are highly correlated. He also stated that multicollinearity occurs when two or more independent variables in a regression model are
correlated. Therefore, the multicollinearity test was conducted in this study which refers to the results of Tolerance and Variance Inflation
Factor (VIF) accordingly. Apart from that, the value of Tolerance must be greater than 0.2 (Garson, 2012). Meanwhile, the value of VIF
must be less than 10 (Pallant, 2015). Thus, Table 4.7 below shows the results of multicollinearity test of this research.
Table 4.7: Multicollinearity Test Result
Coefficients
Model Unstandardized Standardized Collinearity Statistics
Coefficients Coefficients
B Std. Beta t Sig. Tolerance VIF
Error (>0.2) (<10)
1 (Constant) 0.971 0. 2.051 0.042
Knowledge 0.269 0. 0.255 3.118 0.002 0. 673 1.485
Attitude 0.410 0. 0.358 3.597 0.000 0. 456 2.194
Subjective Norms 0.073 0. 0.073 0.907 0.366 0. 696 1.437
Perceived -0.022 0. -0.022 -0.315 0.754 0. 953 1.050
Behavioural Control
Awareness 0.076 0. 0.078 0.876 0.383 0. 565 1.770
a. Dependent Variable: Consumers’ Intentions
According to Table 4.7 above, the results indicate multicollinearity of this research is highly correlated due to value of Tolerance of all
independent variables are greater than 0.2 which knowledge (0.6730), attitude (0.456), subjective norms (0.696), perceived behavioural
control (0.953) and awareness (0.565) on consumers’ intentions. Meanwhile, the value of VIF for each variable are smaller than 10 which
range between 1.050 to 2.194. Thus, based on the result shown in table above, there is no issue of collinearity among the variables in this
study.
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