Hi,
I am attempting to run a multilevel model with GSCA Pro (MGSCA). The package looks suitable for my data but I am having troubles with running the model.
My model:
I have a multilevel model, whereby 38
participants are assessed on 2 components (1 with ~3900 indicators [SCANS], 1 with ~5
indicators [FACTORS]), twice (repeated measures). I have one 2nd level
component (1 indicator, measured once, [GA]) for each participant. Participant is the grouping
variable.
1. Is this model too big for GSCA to handle? I am able to run a MGSCA on the trial data, grouping by gender. However, when running this model, the program stops running.
2. If not too big, I am wondering if I have to separate level 2 and level 1 observed variables when constructing latent variables. Currently, I have three components with two components, 1 at level 1 [FACTORS], 1 at level 2 [GA], independently predicting an endogenous variable at level 1 [SCANS]. Here [GA] is a participant-level explanatory variable, while [SCANS] and [FACTORS] hold repeated measures for each participant across observed variables. Is this the correct modelling approach? Example papers (Hwang, Takane, Malhorta 2007) did not have level 2 explanatory variables so I was unsure how best to model them.
Thanks!
Mia