Y’s name but still resulted in a pay a visit to for the site [58]. Bounce rate is really a metric that tells you the percentage of users who land on one particular web page of a site and after that leave the web page without viewing any other pages [66]. Pages viewed per user shows the number of web page views inside a reporting period divided by the number of visits inside the similar reporting period [69].Worldwide RankingOrganic TrafficBranded Traffic Nonbranded Targeted traffic Bounce RatePages Viewed per User3. Statistical Evaluation odel Formulation 3.1. Data Validation and Descriptive Statistics KPI-related information have been divided into pre-COVID-19 and COVID-19 sets and descriptive statistical parameters were BI-0115 Cancer extracted for all six dependent variables. Just about every set of variables was also tested for validation through Cronbach’s alpha testing (Table two).Table 2. Descriptive statistics of KPI-related variables with Cronbach’s alpha evaluation. Variable Worldwide Ranking Branded Site Safranin In stock visitors Nonbranded Site visitors Organic Traffic Bounce Price Pages Viewed per User Time Period pre-COVID-19 COVID-19 pre-COVID-19 COVID-19 pre-COVID-19 COVID-19 pre-COVID-19 COVID-19 pre-COVID-19 COVID-19 pre-COVID-19 COVID-19 N 12 12 12 12 365 365 12 12 12 12 12 12 Mean 1,499,839 959,013 4.813 eight.983 2,299,245 570,118 854,649,533 17,552,223,000 0.444 0.360 2.356 2.489 Standard Deviation 1,290,782 191,397 1.882 1.547 1,722,149 101,208 854,649,533 three,591,808,640 0.0555 0.0158 0.106 0.090 Common Error Mean 37,262 55,251 0.543 0.447 497,142 29,216 246,716,069 1,036,865,843 0.0160 0.005 0.031 0.026 Cronbach’s Alpha 0.673 0.683 0.590 0.609 0.562 0.At this stage of analysis, all six KPI-related variables is often referred to as the dependent variables on the study.Sustainability 2021, 13,9 ofCronbach’s alpha testing value recommended moderate to low, but acceptable, internal consistency for all variable sets, except nonbranded traffic, where an unacceptable level of reliability was indicated. This outcome is usually partially attributed for the little sample size (N = 12) [70,71]. In our paper, the hypothesis research is depending on FCM simulation methods, and our descriptive statistical analysis serves mainly as normal process and for documenting purposes. However, after reprocessing our information as samples by day (730 samples), the Cronbach’s alpha worth was corrected to 0.590, which can be moderate to low, but at an acceptable level, signifying internal consistency. Descriptive statistical parameters were also calculated for COVID-19-related variables for the COVID-19 period. No internal consistency handle was applied for these variables given that they have been only accessible for the second time period, serving as an independent variable at this degree of evaluation (Table three).Table three. Descriptive statistics of COVID-19-related variables. Variable COVID-19 Instances COVID-19 Deaths N 12 12 Mean 2,215,802,660 49,644,347 Regular Deviation 1,504,470,070 24,349,448 Regular Error Mean 434,303,099 7,029,three.2. Statistical Evaluation eans Comparison Before any additional statistical analysis, we performed an independent samples t-test for all six KPI-related variables, utilizing time period (pre-COVID-19 and COVID-19) as the grouping variable, to investigate any statistically significant distinction in their values before and immediately after the COVID-19 outbreak (Table 4).Table 4. Descriptive independent samples t-test results of KPI-related variable for pre-COVID-19 and COVID-19 variations. Levene’s Test for Equality of Variances 0.175 0.199 0.000 0.000 0.000 0.565 t-Test for Equality of Indicates Signif.
