What Is KMO And Bartlett's Test Of Sphericity?

4.1. Data Collection
The study targeted 144 respondents based on convenience sampling technique. Table shows the demographic profile of the respondents. The age groups are somewhat spread, with the majority of respondents are from 18 to 30 age group. Characteristics Descriptor Distribution Percentage
1 Gender Male 96 66.7 Female 48 33.3
2 Education Graduation or Equivalent 52 36.1 Post Graduation or Equivalent 72 50.0 Professional such as CA 16 11.1 Others 4 2.8
3 Occupation Service 44 30.6 Business 20 13.9 Student 80 55.6
4 Monthly Income Below 25000 INR 8 5.6 25001-50000 36 25 50001-75000 16 11.1 75000-100000 36 25 Above 100000 48 33.3

Table 4.1: Demographic profile of respondents (n=144)
4.2. Data Analysis
4.2.1.
In most academic and business studies, KMO & Bartlett’s test play an important role for accepting the sample adequacy. While the KMO ranges from 0 to 1, the world-over accepted index is over 0.6. In our research,KMO measure of sampling adequacy is 0.799 which is in acceptable range. Bartlett test of Sphericity comes out to be significant. Values in the table indicate that data collected from the survey are suitable and reliable for further. All testing and reliability checks were completed using SPSS software version 22
This table displays R, R squared, adjusted R squared, and the standard error. R is the correlation between the observed and predicted values of the dependent variable. The values of R range from -1 to 1. The sign of R indicates the direction of the relationship (positive or negative). The values of R squared range from 0 to 1. Small values indicate that the model does not fit the data well. Adjusted R squared attempts to correct R squared to more closely reflect the goodness of fit of the model in the