The Chi Square Test Analysis
After the data have been collected a number of closely related operations such as establishment of categories, the application of these categories to raw data through coding and tabulation are done and then statistical inferences are drawn.
A collected data was in discrete categorical form hence simple percentile analysis of the data was done. The various variables are analyzed based on their frequency of occurrence. Since, Cross tabulation analysis, also known as contingency table analysis is most often used to analyses categorical (nominal measurement scale) data. Researcher has applied it to understand the association and relationship between the respective variables.
The Chi Square Test is thought to be appropriate to test the hypothesis as the data was in discrete categorical form. The Chi-square test is an important test amongst the several tests of the significance developed by statistician. It is basically used when the sample size is large. Chi square test is used when sample size is large. Chi-square symbolically written as χ2 is a statistical measure used in the context of sampling analysis for comparing the variance to a theoretical variance. The test is in fact a technique through the use of which it is possible for the researcher to test the significance of association between two variables.
Factor Analysis is a multivariate statistical method whose primary purpose is to define a structure within a set of observed