When is it appropriate to use a cross-classified multilevel model?
A) When it is unclear which level-1 units belong to the different higher-level units
B) When level-1 units can be members of more than one higher-level unit at the same time
C) When the level-1 units can only be nested into level-3 units
D) If your regular model fails to converge
Correct Answer:
Verified
Q1: What is the basic assumption of multilevel
Q2: What is a level?
A) A level is
Q3: How can we calculate how much of
Q4: Which of the following are advantages of
Q5: What is a random coefficient (slope) model?
A)
Q6: What is a cross-level interaction term?
A) A
Q7: How many levels is it possible to
Q8: How many identifier variables are required to
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