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fit_grm2_align_wjs_wlsmv() it fits a between country GRM with alignment method, with a complex sample design using MPLUS and MplusAutomation. The "wjs" version uses taylor series linearization, using strafication, clusters and weights.

Source: R/fit_grm2_align_wjs_wlsmv.r
fit_grm2_align_wjs_wlsmv.Rd

fit_grm2_align_wjs_wlsmv() it fits a between country GRM with alignment method, with a complex sample design using MPLUS and MplusAutomation. The "wjs" version uses taylor series linearization, using strafication, clusters and weights.

Usage

fit_grm2_align_wjs_wlsmv(data, scale_num, scale_info)

Arguments

data

a data frame, where rows = observations, and columns = variables

scale_num

a number, that identifies a unique set of items within the scale_info table

scale_info

a data frame where items memmbership to scale is uniquely identify

Value

mplus_object generated with MplusAutomation

Examples


scale_001_align <- fit_grm2_align_wlsmv(
scale_info = scales_data,
scale_num  = 1,
data = data_model)
#> Error: object 'data_model' not found