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Pairwise Effect sizes of similarities and difference in the psychometric structure between multiple groups
multi_group_eff( df, group, items, eff_sizes = c("SDI2", "UDI2", "WSDI", "WUDI", "dmacs") )
Multi-Group data frame
String variable indicating the grouping variable
Vector of strings indicating items for the uni-factorial construct
Effect sizes to be returned
The function returns a list of dataframes with the first reporting the averaged results per item and the second reporting the pairwise comparisons.
# NOT RUN { example_s <- dplyr::filter(example, country %in% c("NZ", "BRA")) multi_group_eff(df = example, group = "country", items = paste0("voice",1:3, "m")) # }
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