Multiple Choice
In factor analysis, communalities are:
A) correlations of the original variables with the factor.
B) measures of the percentage of variance in each variable explained by all of the factors.
C) sums of the squared factor loadings for each factor.
D) scores representing each observation's calculated value on each factor.
Correct Answer:
Verified
Correct Answer:
Verified
Q39: Which of the following is not an
Q40: In multiple regression, comparing the coefficients will
Q41: Which of the following statements about multidimensional
Q42: The purpose of factor analysis is to
Q43: The n-way univariate analysis of variance (ANOVA)
Q45: Which of the following is an appropriate
Q46: To remove the effects of a third
Q47: In multiple regression, the coefficients β1, β2,
Q48: In multiple regression, to discover which independent
Q49: In factor analysis, communality is a measure