I am working on a project where my predecesor has been analyzing a table of rows by columns of count data. Brands represent the columns, and statements about those brands represent the rows. The cells contain count data where people who have consumed one of 10 brands have endorsed one of 10 statements.
Some brands were consumed more than others, and therefore had more respondents.
I have attached a representation of the table including imaginary base sizes.
I have the respondent data available. However, I would like to ask:
This is a matter that I need to resolve by Monday. Please help.
Some brands were consumed more than others, and therefore had more respondents.
I have attached a representation of the table including imaginary base sizes.
I have the respondent data available. However, I would like to ask:
Is it reasonable to use factor analysis on this table (excluding base sizes)? Or is it more proper to use respondent level data? What do you get if you use factor analysis on a table that uses count data
like this? What changes if it was percent data instead? Shoul we be using a respondent level data matrix?This is a matter that I need to resolve by Monday. Please help.