Exam Questions Flashcards
Question 1. What is multicollinearity?
A) When predictor variables have a linear relationship with the outcome variable.
B) When predictor variables are correlated with variables not in the regression model.
C) When predictor variables correlate very highly with each other.
D) When predictor variables are independent
C) When predictor variables correlate very highly with each other.
Question 2.
Which of the following sentences best describes mediation?
A) Mediation refers to a situation in which the relationship between a predictor variable and an outcome can be explained by their relationship to a third variable.
B) Mediation refers to the combined effect of two variables on an outcome.
C) Mediation refers to a situation in which the relationship between a predictor variable and an outcome is significant only when the mediator is included in the model.
D) Mediation refers to a situation in which the relationship between a predictor variable and an outcome is unaffected by their relationship to a third variable
A) Mediation refers to a situation in which the relationship between a predictor variable and an outcome can be explained by their relationship to a third variable.
Question 3.
The ____ the value of the log-likelihood statistic, the ______ unexplained observations there are
A) Larger, more.
B) Larger, fewer.
C) Smaller, more.
D) None of these are true
A) Larger, more.
Question 4.
Imagine we conducted a mediation analysis and obtained a kappa-squared value of .8 for the indirect effect. What does this tell us?
A) That the indirect effect is medium relative to the maximum possible value.
B) That the indirect effect is small relative to the maximum possible value.
C) That the indirect effect is close to being as large as it could possibly be given the research design.
D) None of these
C) That the indirect effect is close to being as large as it could possibly be given the research design.
Question 5.
A researcher had data collected at several schools measuring children’s emotional intelligence, age, and academic performance. Which analysis should they perform to test whether academic performance is predicted by emotional intelligence when controlling for age, taking into account that students were from different schools?
A) Mediation.
B) Multilevel model.
C) Logistic Regression.
D) Moderation
B) Multilevel model.
Question 6.
Unlike multiple regression, logistic regression
A) Does not have b weights.
B) Is not open to sources of bias.
C) Predicts a categorical outcome variable.
D) Log-transforms the continuous variables
C) Predicts a categorical outcome variable.
Question 7.
Mediation has occurred when…
A) The strength of the relationship between a predictor variable and an outcome variable is reduced by including another variable in the model.
B) The strength of the relationship between a predictor variable and an outcome variable is increased by including another variable as a predictor.
C) The relationship between two variables changes as a function of a third variable.
D) The relationship between two variables decreases as a function of a third variable
A) The strength of the relationship between a predictor variable and an outcome variable is reduced by including another variable in the model.
Question 8.
In a path model, as the match between the data and a model reduces:
A) The Tucker Lewis Index (TLI) will always be equal to 1.
B) The Root Mean Square Error of Approximation (RMSEA) must decrease below 0.05.
C) Chi Square increases.
D) The model fit becomes non-significant.
C) Chi Square increases.
Question 9.
In Structural Equation Modelling, a just-identified model:
A) Will have zero degrees of freedom.
B) Has more observations than parameters to be estimated.
C) Has just as many latent variables as observed variables.
D) Will have negative degrees of freedom
A) Will have zero degrees of freedom.
Question 10.
In the context of multilevel models what do we mean by a fixed regression coefficient?
A) A regression coefficient that is stable across different samples.
B) A regression coefficient that is assumed to be the same in the population and the sample.
C) A regression coefficient that is always a fixed value and does not need to be estimated.
D) A regression coefficient that is assumed not to vary across contexts
B) A regression coefficient that is assumed to be the same in the population and the sample.
Question 11.
If we ran Box’s test prior to conducting a MANOVA and obtained a value with an associated p-value less than .001, what would this tell us?
A) That the residuals are not independent.
B) That there are multivariate outliers present.
C) That the assumption of homogeneity of variance–covariance matrices has been violated.
D) That the population variance–covariance matrices of the different groups in the analysis are equal
C) That the assumption of homogeneity of variance–covariance matrices has been violated.
Question 12.
MANOVA requires:
A) The dependent variables to be heteroscedastic.
B) More than one outcome variable.
C) A stricter significance level than ANOVA.
D) Sphericity
B) More than one outcome variable.
Question 13.
Oblique rotation should be used when:
A) You believe that the underlying factors will be correlated.
B) You believe that the underlying factors are orthogonal.
C) You believe that the underlying factors are independent.
D) Kaiser’s criterion is met
A) You believe that the underlying factors will be correlated.
