Mplus Multilevel Regression Analysis Explained
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- Опубликовано: 21 авг 2024
- QuantFish instructor and statistical consultant Dr. Christian Geiser explains the Mplus syntax and output for a twolevel regression model with random intercepts and random slopes.
#Mplus #statistics #SPSS #hlm #multilevel #mplusforbeginners #geiser #quantfish #statisticstutorials #regressionanalysis
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Super Video. Fände ein video zu three level models mit cross level interaction sehr hilfreich 😊
Dear Dr. Geiser,
Thank you very much. I was struggling to find a method to analyse the data for my research when I came across your video. I hope you read this comment and give me some advice:
I plan to study the creativity of 5-year-old children and explore the impact of educational practices by preschool teachers and parents on children's creativity. The research sample consists of 60 preschool teachers from 30 classes (using questionnaires), 120 5-year-old children (random 4 students in a class, creativity tests), and 120 parents of these children (using questionnaires).
Do you think I can use the simple SEM model and manually synchronize the data of the children with the teachers (calculating the average score and matching them) or should I use Multilevel Regression Analysis? I find your guidance in the video very suitable for my research.
Thank you very much!
Once again you are a treasure my friend. I am generally all-in on R, but I am now on a team that is using Mplus, so here goes something.
Thanks for the videos. They really help. What do I do, if im using the same predictor on both the within and the between level? Lets say I have Slop1 | Y on X at the within level. Now I cant write Slope1 on X on the between level right? Also, when i want to predict multiple outcomes, do I need to use different names for the slope varibale like Slope2, Slope3 and so on?
Hi! Thank you for your videos! However, when I try to use the same way to write my model syntax, it's giving me warning saying that " Variable on the left-hand side of an ON statement in a | statement is a WITHIN variable. The intercept for this variable is not random." And it's referring to my outcome variable. Furthermore, I'm also getting several errors in the model command, and it's telling me that within-level variables cannot be used on the between level. As I specified my outcome variable beta1J | Y on x1 x2 x3, when I write Y on W1 W2 under the %between% section, it's producing errors.... I'm wondering where there's a fix for that... Thanks again.. :)
If Y is defined as a WITHIN (level 1 only) variable in the VARIABLE command, it cannot be used on level 2, and it cannot have a random intercept or slope.
Best,
Christian Geiser
Thank you for your great video. How should I define the variable and analysis if I have 4-level data (multiple timepoints nested in individual ID, then nested in family ID, and then nested in site ID)? Can I specify cluster = site_id family_id subject_id; and analysis: type = threelevel complex? Thanks again for all of your excellent videos!
You may be able to get this to work with a growth modeling approach in which the growth model is specified in wide-format (to account for time points nested within individuals) and the remaining levels (individuals nested within families, families nested with sites) are specified using type = threelevel. See description on pages 262-263 and Example 9.23 (pages 335-338) in the following Mplus User's Guide Excerpt:
statmodel.com/download/usersguide/Chapter9.pdf
Best, Christian Geiser
@@QuantFish Hi Christian, thanks so much for your quick response with lots of useful details. Can I do trajectory modeling with 4-level data, random intercept and slope? As TYPE=MIXTURE cannot be used in conjunction with TYPE=THREELEVEL, how should I specify the TYPE? Thank you so much for your help!