As another poster suggested, I think you should consider fitting a binary logistic regression model with "purchased product A" (yes/no) as the dependent variable and each of the attributes as an independent variable. This would tell you which of the attributes, if any, is significantly predicting the purchase of product A while taking into account the other attributes. You would also obtain the relative predictive strength of each attribute. Before fitting this type of model, you should confirm that you have met the assumptions. There's so much more that could be said on this topic, but without more information I will stop for now.

On Fri, Jul 2, 2010 at 2:55 PM, John Watson <johnwatson_1981@yahoo.com> wrote:

Hi All,

I need urgent help on the following situation. Would really appreciate your help.

I need to use ANOVA on the following variables:

1. Whether purchased product A - Yes or No (consider this factor variable)

2. Series of ratings on attribute importance statements

Objective: I need to run ANOVA to find out which attributes' means are significantly different between those purchased vs. non-purchasers. Once I find the attributes that have higher mean on those who purchased, I need to find out which attribute is more predictive or influencing in likely to purchase the product. In nutshell, I need to rank order the attributes by their ability to impact purchasers vs. non-purchasers.

Help: Can ANOVA analysis help to accomplish aforementioned objective? If yes, how?

I am totally lost and I need to get this out asap. I would really really appreciate any help you can provide.