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Some more helpful help maybe
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chapter1.md

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@@ -617,7 +617,7 @@ success_msg("Awesome job. MTMM modeling is not easy but now you have it down alr
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These models can be used to estimate the measurement error variance in longitudinal data. Such data are available from the [LISS panel](https://www.lissdata.nl/lissdata/about-panel).
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In the slides, error estimation in "internet use" using three timepoints (years 2008-2010) is explained. In the dataset, which is included in the `lavaan.survey` package as `liss`, a fourth timepoint, 2011, is also available. Adjust the model to the right so it also estimates the reliability in 2011.
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In the slides, error estimation in "internet use" using three timepoints (years 2008-2010) is explained. In the dataset, which is included in the `lavaan.survey` package as `liss`, a fourth timepoint, 2011, is also available (`cs11d247`). Adjust the model to the right to include `cs11d247` so it also estimates the reliability in 2011.
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The full study documentation as well as the raw data are publicly available at <http://www.lissdata.nl/dataarchive/study_units/view/6>. (BTW: LISS is an awesome publicly available longitudinal data source you should definitely check out if you're ever looking for high-quality social science data)
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@@ -632,6 +632,9 @@ Please read the instructions below and in the comments to the right very careful
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- Read the instructions in the comments to the right very carefully
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- Make sure you adapt all three parts of the code: one line involving `cs11d247`
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should be added to each.
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- Did you tell R that cs11 is measured by `cs11d247`? And set the loading to equal 1?
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- Did you regress the true score cs11 on the previous timepoint, cs10?
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- Did you estimate the error variance of `cs11d247`? And set it to equal the error variance of the other timepoints?
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*** =pre_exercise_code
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