Description Usage Arguments Details Value References Examples
delta_var
computes the expected bias in total score variance due
to measurement nonequivalence. delta_var
will only work for
unidimensional linear models (not categorical).
1 |
LambdaR |
is the vector of factor loadings for the reference group. |
LambdaF |
is the vector of factor loadings for the focal group. |
VarF |
is the factor variance of the focal group. |
categorical |
is a Boolean variable declaring whether the variables in the model are ordered categorical. Categorical indicators are not supported for this function. |
delta_var
is called by dmacs_summary_single
, which
in turn is called by lavaan_dmacs
and
mplus_dmacs
, which are the only functions in this
package intended for casual users
The expected bias in total score variance due to measurement nonequivalence in equation 7, 8, and 9 of Nye & Drasgow (2011).
Nye, C. & Drasgow, F. (2011). Effect size indices for analyses of measurement equivalence: Understanding the practical importance of differences between groups. Journal of Applied Psychology, 96(5), 966-980.
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