Page 590 - MARSIUM'21 COMP OF PAPER

569 Najihah & Mazilah (2022)

N 30
*
Pearson Correlation .374
Employee Service Quality Sig. (2-tiled) 0.042
N 30
**
Pearson Correlation .522
Physical Environment Quality Sig. (2-tiled) 0.003
N 30
Pearson Correlation 0.138
Customer Perceived Quality Sig. (2-tiled) 0.466
N 30
Pearson Correlation 0.344
Location Sig. (2-tiled) 0.063
N 30

4.4 Normality Analysis
A normality test was performed to determine whether all data obtained are normally distributed and have an appropriate range and
skewness. If the values of variables are between -1 and +1, the Skewness and Kurtosis are assumed to be normally distributed (Peat and
Bartoon, 2005).

Table 5.0: Skewness and Kurtosis
N Skewness Kurtosis
Construct Item
Statistic Statistic Statistic
CS1 126 -1.126 -0.565
Customer
Satisfaction CS2 126 0.781 -0.097
CS3 126 -0.812 -1.069
FQ1 126 -0.263 -0.665
FQ2 126 -0.229 -1.933
Food Quality
FQ3 126 -0.238 -0.268
FQ4 126 0.757 -0.799
SQ1 126 -1.057 -0.890
Employee Service SQ2 126 -1.149 -0.375
Quality SQ3 126 -0.642 -1.541
SQ4 126 -1.416 1.577
PQ1 126 -0.211 -1.871
Physical
Environment Quality PQ2 126 -0.793 -1.282
PQ3 126 -0.303 -0.438
CQ1 126 -0.319 -1.388
Customer Perceived CQ2 126 -0.910 -0.373
Quality
CQ3 126 -0.434 -1.621
L1 126 -1.079 -0.025
Location L2 126 -0.666 -0.975
L3 126 -1.405 0.761

4.5 Outliner Analysis
There are two outlier analyses in this research, consisting of univariate and multivariate data. Free of an outlier can be achieved if
the z-score is between +4 and -4 (Hair, 2010). If the z-score is greater than and less than the value of the z-score, it will be cut out.

Table 6.0: Mahalanobis Test

569