item_dmacs: dmacs measurement nonequivalence effect size
In dmacs: Measurement Nonequivalence Effect Size Calculator

Description Usage Arguments Details Value References Examples

item_dmacs computes the dmacs effect size for a single indicator relative to a single factor in a single focal group

1 2	item_dmacs(LambdaR, ThreshR, LambdaF, ThreshF, MeanF, VarF, SD, categorical = FALSE, stepsize = 0.001)

`LambdaR`	is the factor loading of the item onto the factor of interest for the reference group.
`ThreshR`	is the indicator intercept (for continuous indicators) or a vector of thresholds (for categorical indicators) for the reference group.
`LambdaF`	is the factor loading of the item onto the factor of interest for the focal group.
`ThreshF`	is the indicator intercept (for continuous indicators) or a vector of thresholds (for categorical indicators) for the focal group.
`MeanF`	is the factor mean in the focal group
`VarF`	is the factor variances in the focal group.
`SD`	is the indicator standard deviations to be used as the denominator of the dmacs effect size. This will usually either be pooled standard deviation for the indicator or the standard deviation for the indicator in the reference group.
`categorical`	is a Boolean variable declaring whether the variables in the model are ordered categorical. Models in which some variables are categorical and others are continuous are not supported. If no value is provided, categorical defaults to `FALSE`, although if a vector of thresholds are provided, categorical will be forced to `TRUE`. A graded response model with probit link (e.g., DWLS in lavaan or WLSMV in Mplus) is used for categorical variables. If you desire for other categorical models (e.g., IRT parameterization) to be supported, e-mail the maintainer.
`stepsize`	is the interval width for the Riemann sum used to estimate the integral in equation 3 of Nye & Drasgow (2011). Default value is .001. A larger value can be used for faster performance; accuracy is excellent at `stepsize = .01` in my simulations.

item_dmacs 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 dmacs effect size of equation 3 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.

LambdaF <- 0.74
LambdaR <- 0.76
ThreshF <- 1.28
ThreshR <- 0.65
MeanF   <- 0.21
VarF    <- 1.76
SD      <- 1.85
item_dmacs(LambdaR, ThreshR, LambdaF, ThreshF, MeanF, VarF, SD)