3
votes
EFA for item reduction in multi-level data prior to HLM
It would most likely not make sense to include all individual data points (from every single time point) in the EFA because of the complexity of the resulting data structure. EFA would likely not give ...
1
vote
Exploratory study with multiple testing
In my opinion the best thing to do is to analyze the evolution of the plasma hormones over time and according to the presence or absence of intervention with a mixed effect model. Your dataset should ...
1
vote
Repeated measures - sort of?
Suggestions
I think doing an analysis with your data is going to be fairly problematic without injecting a lot of limitations and confounding influence commentary into your discussion. The problem is ...
1
vote
Help in identifying appropriate statistics to analyze repeated measures data with multiple trials
A multilevel regression or one of its extensions sounds suitable. If you are interested in whether Extraversion is related to the time to solve a puzzle differently for different difficulty levels, ...
1
vote
Accepted
Is it possible to have an Indicator-spesific Trait factor model within a multiple indicator second order growth model?
Your questions are not entirely clear to me. If the item in question is strongly correlated with itself over time, this would speak against the idea of it being state-like. Rather, it would indicate ...
1
vote
Accepted
How to describe a repeated measures GLMM?
With your model formula:
Weight gain ~ Treatment * sex + Sampling + (1+Sampling | ID)
...you have described the fixed effects fine, but the random effects ...
1
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Accounting for repeated measurements vs cross section with averages
I hesitate to say "always" in response to any statistics question.
Why might you want to use averages instead? I think all the following would have to apply:
You aren't interested in change ...
1
vote
EFA for item reduction in multi-level data prior to HLM
I wanted to elaborate on my comment, as I've been in the same situation. However please note I'm not a statistician and this is coming from a very practical viewpoint and I'm not sure what is ...
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