Influential Cases PreviousNext
Mplus Discussion > Structural Equation Modeling >
 Alexandre Morin posted on Friday, September 12, 2008 - 8:26 am

Rensvold & Cheung (1999), proposed a method involving Jacknifing to identify influencial cases (cases having an important impact on fit indices or coefficients) in the context of SEM (the model is re-estimated droping a single case at a time and repating the process for each case).

Is there a (simple) way to implement this in Mplus ? If not, can this be added to the "wish list" for the next version ?

Thank you

Rensvold, Roger B. & Gordon W. Cheung (1999) “Analysis of Influential Cases in Structural Equation Model: A Methodological Note.” Organizational Research Methods, 2, 293-308.
 Linda K. Muthen posted on Saturday, September 13, 2008 - 11:00 am
I am not familiar with this method. See pages 606-607 and 611-612 in the Version 4 Mplus User's Guide for information about outlier detection in Mplus.
 Alexandre Morin posted on Saturday, September 13, 2008 - 2:19 pm
Hi Linda,
Thank you for this answer. I was not aware of the loglikelihood influence statistic. Very interesting.

The method proposed in the paper really consist of jacknifing the sample by taking a single case out each time and then to estimate the influence of each case on the various fit indices (can be extended to parameters) by looking at how much the indices change when the case is taken out. To implement it without doing it by hand, you need to be able to save these "influences" statistics (the fit indices from the sample without the case) in association wth each case. Someone on SEMNET suggest that it might be possible to implement it in Mplus trough the Monte Carlo function...

Any ideas would be welcome.
 Linda K. Muthen posted on Sunday, September 14, 2008 - 10:10 am
I can't think of a way that you could get the influence of other fit indices using Mplus. However, given that the fit measures are based on the loglikelihood, I would not imagine you would learn more than you would learn from the influence of the loglikelihood.
 Alexandre Morin posted on Monday, September 15, 2008 - 6:41 am
Thanks again,

Were can I find information on how Mplus calculate the influence of cases on the log likelyhood ? Its not through jacknife or is it?
 Linda K. Muthen posted on Monday, September 15, 2008 - 6:52 am
See the 1982 Cook and Weisberg reference given in the user's guide.
Back to top
Add Your Message Here
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Options: Enable HTML code in message
Automatically activate URLs in message