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Table 4. Cronbach’s Alpha Coefficients of the independent variable “Green
Distribution” and observed variables

Source: Data processed in SPSS 27.0

Testing the Cronbach’s Alpha coefficient of the independent variable "Green
Price" with 3 observed variables, the total correlation coefficient of the "Green Price"
factor was all appropriate (greater than 0.3). The overall Cronbach’s Alpha coefficient
of the factor = 0.860 > 0.6. The observed variable GX1 has a Cronbach’s Alpha if Item
Deleted coefficient of 0.884, which is higher than the Cronbach’s Alpha coefficient of

the GX scale, which is 0.860. However, the total correlation coefficient of the factor is
0.647 > 0.3 and the Cronbach’s Alpha of the scale is already above 0.6. Therefore,
there is no need to exclude the GX1 variable in this case. All coefficients in the
Cronbach’s Alpha if Item Deleted column of the remaining variables satisfy < 0.860.
Thus, the "Green Price" variable meets the reliability requirements (see Table 5).
Table 5. Cronbach’s Alpha Coefficients of the independent variable “Green

Price” and observed variables

Source: Data processed in SPSS 27.0
Factor analysis of the independent variables: The purpose of exploratory factor analysis

(EFA) technique is to identify which factors influence online shopping
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