Normally when we collect data from uneducated people with minimal researcher interference we got gata that does not meet Factor Analysis assumptions, even I did not get the KMO table from factor analysis. How we can transform our data to run for factor analysis?
Hello Shabeeb,
Thanks for attaching your results, but those results do not contain anything that indicates a KMO value, and you don't provide the results from Bartlett's test of sphericity - two of the basic things to obtain before conducting which I assume you're trying to do, namely exploratory factor analysis.
Furthermore, your scree plot suggests that you have only four, perhaps five, factors in your data, so you need to run extra analyses in which you restrict the solution to only one or the other number of those factors.
It is imperative to do Data screening. The process involves checking for and dealing with missing data, which can be done by checking for the frequencies or using the “COUNTBLANK” function in excel. You need to check for the engaged and ungagged respondents to determine outliers. Then check for normality, Linearity, Homoscedasticity, and Multicollinearity.
For details on the above, check the link below.
http://statwiki.kolobkreations.com/index.php?title=Data_screening
Regards
Robert Trevethan Sir! actually this was my question that, during factor analysis first step i did not receive (KMO) .....what is the reason behind?
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