Description Usage Arguments Value Examples
Takes loglikelihood values from nested models estimated using maximum likelihood with robust standard errors, number of free parameters, scaling correlation factors and returns: (1) Satorra-Bentler scaled change in model chi-squared (2) change in model degrees of freedom and (3) the probability of rejecting the null.
1 | sbs.log(L0, L1, p0, p1, c0, c1)
|
L0 |
loglikelihood value for the more restrictive model (should be a negatige value) |
L1 |
loglikelihood value for the less restrictive model (should be a negatige value) |
p0 |
number of free parameters for the more restrictive model (with fewer freely estimated parameters) |
p1 |
number of free parametersfor the less restrictive model (with more freely estimated parameters) |
c0 |
scaling correction factor for the more restrictive model |
c1 |
scaling correction factor for the less restrictive model |
Change in model chi-squared, change in model degrees of freedom and the probability of rejecting the null
1 2 3 4 5 6 7 8 9 10 11 12 13 | L0 <- -50
L1 <- -45
p0 <- 9
p1 <- 10
c0 <- 1
c1 <- 1
sbs.log(L0,L1,p0,p1,c0,c1)
|
SB-Scaled Diff delta DF p
10 1 0.001565402
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