Description Usage Arguments Value Examples
Takes chi-squared values from nested models estimated using maximum likelihood with robust standard errors, model degrees of freedom, scaling correlation factors and returns: (1) change in model chi-squared (2) change in model degrees of freedom and (3) the probability of rejecting the null.
1 | sbs.chi(chi0, chi1, df0, df1, c0, c1)
|
chi0 |
chi-squared value for the more restrictive model |
chi1 |
chi-squared value for the less restrictive model |
df0 |
degrees of freedom for the more restrictive model (with more degrees of freedom) |
df1 |
degrees of freedom for the less restrictive model (with fewer degrees of freedom) |
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 | chi0 <- 50
chi1 <- 40
df0 <- 10
df1 <- 9
c0 <- 1
c1 <- 1
sbs.chi(chi0,chi1,df0,df1,c0,c1)
|
sh: 1: cannot create /dev/null: Permission denied
SB-Scaled Diff Delta DF p
10 1 0.001565402
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