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I am conducting an LGMM with a longitudinal dataset that includes both individuals (N = 50) and siblings (N = 225) within families (about 75). My analysis is focused on the individual level, but I am obviously concerned about the non-independence of some of the data. Is it required that I use a multi-level LGM model here? Any help is greatly appreciated. |
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See the introduction to Chapter 9 of the Mplus User's Guide where two approaches for non-independence of observations are discussed. |
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Okay, thanks very much! |
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Eric Deemer posted on Saturday, June 06, 2015 - 5:22 am
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Hello, I'd like to fit a multilevel growth model with 3 observations nested within students. However, the students are also nested within classrooms so to account for this type of nonindependence would I mention this grouping variable in the CLUSTER command? Thank you. Eric |
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Yes. |
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Eric Deemer posted on Saturday, June 06, 2015 - 6:16 am
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Okay, thanks Linda. Would I need to use TYPE=COMPLEX because there are 2 cluster variables or would TYPE=TWOLEVEL be sufficient? |
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If your data are in wide format, you need just one cluster variable. I would recommend having the repeated measures be three variables in wide format. It allows more flexible modeling. |
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Eric Deemer posted on Saturday, June 06, 2015 - 11:32 am
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Thanks, Linda. |
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Eric Deemer posted on Saturday, June 06, 2015 - 2:23 pm
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Hi Linda, I followed your suggestion but I got an error message. Is it possible to fit a multilevel growth model using data in wide format? cluster = class; MODEL: i s | ai1@0 ai2@1 ai3@2; *** ERROR in VARIABLE command The CLUSTER option can only be used for TYPE=COMPLEX, TYPE=TWOLEVEL, or for the CLUSTER_MEAN function in the DEFINE command. Eric |
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Eric Deemer posted on Saturday, June 06, 2015 - 3:16 pm
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Disregard my last question, I figured it out. I specified type=twolevel with no between-level variance and it worked with class as cluster variable. Thanks, Eric |
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