Page 529 - MARSIUM'21 COMP OF PAPER

Male 69 51.88
Female 64 48.12
Age
20 years old and below 19 14.29
21 – 30 years old 59 44.36
31 – 40 years old 30 22.56
41 years old and above 25 18.80

Education Level
SPM 36 27.07

STPM/Matriculation/Diploma 41 30.83
Bachelor Degree 27 20.30
Others 29 21.80

4.2 Reliability Test

Cronbach alpha is used to determine the reliability of each independent and dependent variable. Table 3 shows the result for each
variable which are Food Quality value (0.908), Service Quality value (0.900), Physical Environment value (0.831), Customer Perceived
Value (0.902) and Customer Satisfaction value (0.834). It demonstrates that the Cronbach Alpha coefficients for all variables were acceptable.
Generally, a Cronbach alpha of 0.70 is considered to be the lowest common limit. Cronbach's alpha coefficient must be at least
0.70 in order for equipment to be classified reliable, according to (George & Mallery, 2003).

Table 3: Cronbach Alpha’s Result

Variables Cronbach’s Alpha N of Items

Food Quality .908 6

Service Quality .900 5

Physical Environment .831 5
Customer Perceived Value .902 3

Customer Satisfaction .834 3

4.3 Validity Analysis

The research applied normality analysis as a basic concept of correlation in this research. According to the rule of thumb,
researchers utilise skewness and kurtosis to determine an item's normality in this normality test. Skewness and kurtosis may be calculated
using descriptive statistics and then divided by the standard errors. This is a popular test for normality. According to (Garson, 2012), when
data are properly distributed, skewness and kurtosis must be between the range of +2 to -2. Table 3 presents the findings of skewness and
kurtosis for independent and dependent variables. A rule of thumb is applied to all of the variables in this study, which means that none of
them are excluded from the data analysis.

Table 4: Skewness and Kurtosis
Variable Code Question Code N Skewness Kurtosis
FQ 133 -0.656 -1.594
FQ 133 -0.795 -0.339

508