SBSDiff (version 0.1.0)

sbs.log: Satorra-Bentler Scaled Chi-Squared Difference Test (Based on Loglikelihood Values)

Description

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.

Usage

sbs.log(L0, L1, p0, p1, c0, c1)

Arguments

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

Value

Change in model chi-squared, change in model degrees of freedom and the probability of rejecting the null

Examples

# NOT RUN {
L0 <- -50

L1 <- -45

p0 <- 9

p1 <- 10

c0 <- 1

c1 <- 1

sbs.log(L0,L1,p0,p1,c0,c1)
# }