Thanks Miner for your reply...
The correct choice of an analytical tool always relates back to the question that you need to answer (i.e., the hypothesis that you want to test). Can you clearly articulate your hypothesis for us?-(--I wanted to find if there is any difference in the parameter.Therefore my hypothesis was that all the parameters are same and the Chi Square value also supported the same.I am not left with any option to disect any specific parameter, had the Chi Square value been significant and individual contribution could be looked to find the significant parameter)
You mentioned the Chi-square test, which was not statistically significant, but which variant of the Chi-square and which null hypothesis? If I assume that your null hypothesis was that there is no difference in proportions between groups, then I would conclude that there was no difference in proportions between groups.
Discriminant analysis tests for relationships between explanatory factors (e.g., your parameters) and the customer satisfaction scores of multiple groups. If there is no difference in the scores of the different groups, there is no purpose served by running a discriminant analysis.
Start by clearly articulating your null hypothesis then select a test that is appropriate for that null hypothesis. Chi-square may or may not be that test.
Help me in disecting my parameters.I have 10 Parameters and I want to analyse these.I cannot do drilling down on all.What should i do?
Thanks in advance.
regards