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J.W. posted on Tuesday, December 16, 2008 - 3:33 pm
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In EQS, the case robust approach, called CRobust, is available to deal with effect of influential and outlying cases. Mplus provides ML Robust approaches (e.g., MLR) that can deal with non-normal distributions. I am wondering whether Mplus can do CRobust? Thanks. |
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Mplus has several options for examining outliers. See pages 606-607 and 611-612 of the user's guide. Mplus has no option for automatically removing them. |
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