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Heidi Wechtler
May 3, 2019, 12:45:49 PM5/3/19
to lavaan
Dear all,
I am trying to run a multilevel sem with meditation analysis.
Lavaan / cfa works well on the data. Estimated latent can be stored (predict option).
Yet, when I add the regression step, latent variables seem not to be recognized anymore.
I get the following message: ERROR: missing observed variables in dataset: rat evs dub wel (which are my latent variables used in the regressions)
Thank you for your help.
> modelsem <- '
+ level: 1
+ evs=~ KH1 + KH2 + KH3 + KH4
+ dub=~ KH5 + KH6 + KH7 + KH8
+ rat=~ KH9 + KH10 + KH11 + KH12
+ wel=~ PW1 + PW2 + PW3 + PW4 + PW5 + PW6 + PW7
+ wel~ a1*evs + a2*dub + a3*rat
+ evs~~dub
+ evs~~rat
+ dub~~rat
+ level: 2
+ rjp=~ IRP1 + IRP2 + IRP3 + IRP4 + IRP5
+ rjp~ c11*rat + c21*evs + c31*dub + b1*wel
+ inp=~ INN1 + INN2 + INN3 + INN4 + INN5 + INN6 + INN7
+ inp~ c12*rat + c22*evs + c32*dub + b2*wel
+
+ indirect := a1*b1
+ direct := c1
+ total := c1 + (a1*b1)
+ '
> fitsem <- sem(model = modelsem, data = know2, cluster = "supnumb")
Error in lav_data_full(data = data, group = group, cluster = cluster, :
lavaan ERROR: missing observed variables in dataset: rat evs dub wel
Terrence Jorgensen
May 8, 2019, 5:35:29 AM5/8/19
to lavaan
when I add the regression step, latent variables seem not to be recognized anymore.
Because you haven't defined them in your level-2 model.
+ level: 2+ rjp=~ IRP1 + IRP2 + IRP3 + IRP4 + IRP5+ rjp~ c11*rat + c21*evs + c31*dub + b1*wel+ inp=~ INN1 + INN2 + INN3 + INN4 + INN5 + INN6 + INN7+ inp~ c12*rat + c22*evs + c32*dub + b2*wel
Level-1 and Level-2 models can be different (which is why you have a Level-2 factor rjp presumably defined by Level-2 indicators), so defining factors at Level 1 does not mean they are automatically defined at Level 2.
Terrence D. Jorgensen
Assistant Professor, Methods and Statistics
Research Institute for Child Development and Education, the University of Amsterdam
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