I don't have experience with such p values. I just plot the outlier score against some key variable such as the estimated intercept score in a growth model - and then visually determine if a point stands out. I tend to use the LL influence measure which is in an interpretable LL metric.
Thank you. When I try to use the Savedata command to save the values of Influence and Cook's D, the resulting dataset that I get seems to be formatted incorrectly (i.e., the rows and columns don't all line up). I have tried specifying the format, but that doesn't seem to make a difference. Do you have any suggestions?
After identifying an outlier, Is there any easy way to unselect outlier observations? Or, is it necesary to have an auxiliary variable to identify individual observations, in order to do it via a useobservations? Thanks, Fernando.
Once identified, you would need to eliminate the outlier using the USEOBSERVATIONS option. I believe that you can obtain auxiliary variable information by holding the cursor on the outlier in the plot.
Antti Kärnä posted on Thursday, October 06, 2011 - 12:02 am
Hello, I tried the outlier screening procedure involving the LL influence measure. One subject had a value of 39.58. When this subject was excluded from the analysis, the change in the loglikelihood was 40.37. Are the LL influence values only approximate? Thanks, Antti Kärnä