| sbs.chi {SBSDiff} | R Documentation |
Satorra-Bentler Scaled Chi-Squared Difference Test (Based on Chi-Squared Values)
Description
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.
Usage
sbs.chi(chi0, chi1, df0, df1, c0, c1)
Arguments
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 |
Value
Change in model chi-squared, change in model degrees of freedom and the probability of rejecting the null
Examples
chi0 <- 50
chi1 <- 40
df0 <- 10
df1 <- 9
c0 <- 1
c1 <- 1
sbs.chi(chi0,chi1,df0,df1,c0,c1)