EFA

Question 1

residual correlation

Answer 1

when residual variances contain shared variance

Question 2

identification

Answer 2

1. scaling the latent variable
   option 1:
   > mean of factors = 0
   > fix 1 factor loading to 1 for each factor

option 2:
> mean of factors = 0
> fix the factor variance to 1 for each factor

2. statistical identification
   > k should not exceed M
   > this can happen if there are too few observed variables
   > k does not have a formula in CFA, but needs to be counted

Question 3

global model fit

Answer 3

1. absolute fit measures
   > X2-goodness of fit, RMSEA, SRMR, CFI, TLI
2. comparative fit measures
   > likelihood ratio test (nested models), AIC, BIC, CAIC

Question 4

local model fit

Answer 4

modification indices
> indicate how much the X2 will improve (decrease) if that parameter is freed

Question 5

when there is a cross loading

Answer 5

add the variable to that factor

Question 6

when there is residual covariance

Answer 6

add the covariance to the residual covariance matrix

Question 7

parameters

Answer 7

1. factor loadings
2. residual variances
3. factor variances and covariances