multi_group_eff: Pairwise Effect sizes of similarities and difference in the...

In Jo-Karl/ccpsyc: Methods for Cross-Cultural Psychology

Pairwise Effect sizes of similarities and difference in the psychometric structure between multiple groups

Description

Pairwise Effect sizes of similarities and difference in the psychometric structure between multiple groups

Usage

multi_group_eff(
  df,
  group,
  items,
  eff_sizes = c("SDI2", "UDI2", "WSDI", "WUDI", "dmacs")
)

Arguments

df	Multi-Group data frame
group	String variable indicating the grouping variable
items	Vector of strings indicating items for the uni-factorial construct
eff_sizes	Effect sizes to be returned

Value

The function returns a list of dataframes with the first reporting the averaged results per item and the second reporting the pairwise comparisons.

Examples

example_s <- dplyr::filter(example, country %in% c("NZ", "BRA"))
multi_group_eff(df = example, group = "country", items = paste0("voice",1:3, "m"))

Jo-Karl/ccpsyc documentation built on Oct. 15, 2022, 3:20 p.m.