compare model fit for modsem models — compare

Compare the fit of two models using the likelihood ratio test (LRT). hypothesis model, and est_h1 the alternative hypothesis model. Importantly, the function assumes that est_h0 does not have more free parameters (i.e., degrees of freedom) than est_h1. alternative hypothesis model

Usage

compare_fit(est_h1, est_h0, ...)

Arguments

est_h1: object of class modsem_da or modsem_pi representing the alternative hypothesis model (with interaction terms).
est_h0: object of class modsem_da or modsem_pi representing the null hypothesis model (without interaction terms).
...: additional arguments passed to the underlying comparison function. E.g., for modsem_pi models, this can be used to pass arguments to lavaan::lavTestLRT. currently only used for modsem_pi models.

Examples

if (FALSE) { # \dontrun{
m1 <- "
 # Outer Model
 X =~ x1 + x2 + x3
 Y =~ y1 + y2 + y3
 Z =~ z1 + z2 + z3

 # Inner model
 Y ~ X + Z + X:Z
"

# LMS approach
est_h1 <- modsem(m1, oneInt, "lms")
est_h0 <- estimate_h0(est_h1, calc.se=FALSE) # std.errors are not needed
compare_fit(est_h1 = est_h1, est_h0 = est_h0)

# Double centering approach
est_h1 <- modsem(m1, oneInt, method = "dblcent")
est_h0 <- estimate_h0(est_h1, oneInt)

compare_fit(est_h1 = est_h1, est_h0 = est_h0)

# Constrained approach
est_h1 <- modsem(m1, oneInt, method = "ca")
est_h0 <- estimate_h0(est_h1, oneInt)

compare_fit(est_h1 = est_h1, est_h0 = est_h0)
} # }