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| Dylan John posted on Tuesday, July 25, 2017 - 11:38 am
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| I am trying to wrap my head on how to conduct a test of measurement invariance in MPlus. My data consists of a latent profile analysis at three timepoints. I am aware that I need to create a longfile dataset where a grouping variable specifies each timepoint. Do I also need to specify the latent profile groupings for each timepoint or is measurement invariance calculated across the whole dataset? |
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| Dylan John posted on Tuesday, July 25, 2017 - 11:53 am
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Here are a few more details about the type of data I have:
I have a single dataset, in a longfile format. There is a variable that specifies ID, observation timepoint (t1, t2, or t3), latent group they are most likely to belong to (within their respective timepoint), as well as the 4 indicator variables for each timepoint (e.g. t1x1, t1x2, t1x3, t1x4...t3x4). |
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| You should analyze this in wide format - then it is easy to check measurement invariance across time. If your data is in long form you can use our DATALONGTOWIDE command. |
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| Dylan John posted on Tuesday, July 25, 2017 - 6:37 pm
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| Ok so you are saying that I should have cases with multiple observations (across timepoints 1-3), on the same line in the dataset? |
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| Yes. Each time point is a separate variable. So if y is measured four times, you would have four variables in the data set. |
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