Multiple Choice
In multilevel models,why can centring be useful?
A) To combat multicollinearity between predictor variables
B) To reject the null hypothesis early on
C) To improve the strength of the analysis
D) To hide errors
Correct Answer:
Verified
Correct Answer:
Verified
Q3: A polynomial can be defined by a
Q4: The overall fit of a multilevel model
Q5: Multilevel models where changes over time in
Q6: SPSS produces four adjusted versions of the
Q7: Homoscedasticity is also known as what?<br>A)Linearity<br>B)Normality<br>C)Effect size<br>D)Homogeneity
Q9: Take a given variable,mark each score and
Q10: In SPSS,how are growth curves entered?<br>A)Manually<br>B)Automatically<br>C)It is
Q11: What is the intraclass correlation coefficient (ICC)a
Q12: How can the Information Criteria table be
Q13: Homoscedasticity is an assumption of multilevel modelling.What