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 Liz Woodruff posted on Tuesday, April 26, 2011 - 8:55 am
I'm a bit lost as to how to interpret the output for my EFA. Can you point me in a direction?
 Linda K. Muthen posted on Tuesday, April 26, 2011 - 9:44 am
EFA is discussed in the Topic 1 course video and handout.
 Liz Woodruff posted on Tuesday, April 26, 2011 - 9:52 am
OK, could I send you my output to get your help. It seems that the best fitting model is the one with 9 factors. However, I have one variable that has a negative residual variance (i.e., LogY1). Does this mean my model is inadmissible? If so, am I at a loss with my data?

Thank you.
 Linda K. Muthen posted on Tuesday, April 26, 2011 - 11:00 am
A negative residual variance means the model is inadmissible and that you are extracting too many factors. You should have some idea of how many factors to expect based on how the items were created. EFA should be used with items that were carefully created to measure certain dimensions.
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