Page 365 - MARSIUM'21 COMP OF PAPER

344 Ali & Ahmad (2018)

The study's scale's validity explains the correctness of the actual survey data collected (LeComple and Goetz 1982). The degree to which
each single question raised in the questionnaire captures the real question being examined can be tested (Mohajan 2017). In this study,
validity tests were performed to confirm that the questionnaire items were valid. Kaiser Mayer Olkin (KMO) is one of the metrics used in
this investigation. Furthermore, for variable examination to be appropriate, the Bartlett's Test of Sphericity must be (p 0.5). (Tabachnick &
Fidell, 2007).

4.4 Normality Test

The data must be approximately normally distributed in order for most parametric tests to be reliable. As a result, a normality test is performed
to determine if all of the data gathered are normally distributed and have proper range and skewness. If the values of variables are between -
1 and +1, the Skewness and Kurtosis are considered to be normally distributed (Peat and Bartoon, 2005). These scores should be normally
distributed on the expected dependent variable scores to minimise redundancy. The symmetric or central tendency is the normal distribution,
which has a skewness value of 0. As a result, the SPSS technique will be used to measure the normality test.

4.5 Descriptive Analysis

Descriptive analysis is a sort of data analysis that assists in describing, displaying, or summarising data points in a constructive manner so
that patterns might develop that meet all of the data's conditions. One of the most crucial steps in statistical data analysis is this step. It
provides a conclusion on the data's distribution, aids in the detection of outliers, and allows for the identification of similarities between
variables, preparing the data for future statistical analysis. In this study, it is the initial phase in the study's statistical analysis in SPSS
software. The two primary goals of descriptive analysis are to give generality by observing extensive information about the variables and
to discover the relationship between two variables.

In this study, frequency and central tendency measurements are used for analysis. The frequency analysis is used to assess
respondents' demographic information. The mean and standard deviation are included in the central tendency, which assists the researcher
to understand the responses to the questionnaire. It's utilised to assess the relationship between the study's independent variables (information
content, visual aesthetics, navigation, and interactivity) and the study's dependent variables (user satisfaction).

4.6 Multiple Regression Analysis

Multiple regression shows the relationship between the dependent variable and the independent variables. In this study, multiple regression
analysis was used to determine which website design feature is the most important in motivating respondents from Universiti Teknologi
Malaysia to be satisfied or dissatisfied with KKKL Express's website. Then, according to Julie Pallant (2007), the beta coefficient value, and
the highest value was the most influential variable for this group.

4.7 Correlation Analysis

344