This function will run N number of CFA where N = length(group), and report the fit measures of CFA in each group. The function is intended to help you get a better understanding of which group has abnormal fit indicator

cfa_groupwise(data, ..., group, model = NULL, ordered = FALSE)

## Arguments

data

data frame

...

CFA items. Support dplyr::select() syntax.

group

character. group variable. Support dplyr::select() syntax.

model

explicit lavaan model. Must be specify with model = lavaan_model_syntax.

ordered

logical. default is FALSE. If it is set to TRUE, lavaan will treat it as a ordinal variable and use DWLS instead of ML

## Value

data frame with group-wise CFA result

## Details

All argument must be explicitly specified. If not, all arguments will be treated as CFA items

## Examples

# The example is used as the illustration of the function output only.
# It does not imply the data is appropriate for the analysis.
cfa_groupwise(
data = lavaan::HolzingerSwineford1939,
group = "school",
x1:x3,
x4:x6,
x7:x9
)
#>         group       cfi      rmsea       tli
#> 1     Pasteur 0.9031037 0.10376088 0.8546555
#> 2 Grant-White 0.9413704 0.08896312 0.9120556