Rescore each circumplex item using deviation scoring across variables. In other words, subtract each observation's mean response from each response. This effectively removes the presence of a general factor, which can make certain circumplex fit analyses more powerful.

ipsatize(.data, items, na.rm = TRUE, overwrite = FALSE)

Arguments

.data

Required. A data frame containing at least circumplex scales.

items

Required. The variable names or column numbers for the variables in .data that contain circumplex items to be ipsatized.

na.rm

Optional. A logical that determines whether missing values should be ignored during the calculation of the mean during ipsatization (default = TRUE).

overwrite

Optional. A logical that determines whether the variables specified in items should be overwritten with ipsatized versions or alternatively preserved and new variables ending with "_i" should be added to the data frame (default = FALSE).

Value

A data frame that matches .data except that the variables specified in items have been rescored using ipsatization.

See also

Other tidying functions: score, standardize

Examples

data("raw_iipsc") ipsatize(raw_iipsc, IIP01:IIP32)
#> # A tibble: 10 x 64 #> IIP01 IIP02 IIP03 IIP04 IIP05 IIP06 IIP07 IIP08 IIP09 IIP10 IIP11 IIP12 IIP13 #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 0 0 0 0 1 0 1 0 2 1 0 0 0 #> 2 1 1 0 0 3 2 2 1 0 1 0 1 4 #> 3 1 0 1 0 1 1 1 3 0 1 0 0 2 #> 4 3 2 3 NA 2 3 2 3 2 3 2 4 2 #> 5 0 0 0 1 0 0 1 1 0 1 0 2 1 #> 6 0 0 0 0 0 0 1 1 0 0 0 0 0 #> 7 1 0 0 0 2 1 1 0 1 0 0 0 1 #> 8 1 0 1 0 1 1 2 1 1 0 0 0 1 #> 9 0 0 2 2 0 1 3 0 1 0 1 1 0 #> 10 0 0 0 0 0 0 2 0 0 0 0 0 0 #> # ... with 51 more variables: IIP14 <dbl>, IIP15 <dbl>, IIP16 <dbl>, #> # IIP17 <dbl>, IIP18 <dbl>, IIP19 <dbl>, IIP20 <dbl>, IIP21 <dbl>, #> # IIP22 <dbl>, IIP23 <dbl>, IIP24 <dbl>, IIP25 <dbl>, IIP26 <dbl>, #> # IIP27 <dbl>, IIP28 <dbl>, IIP29 <dbl>, IIP30 <dbl>, IIP31 <dbl>, #> # IIP32 <dbl>, IIP01_i <dbl>, IIP02_i <dbl>, IIP03_i <dbl>, IIP04_i <dbl>, #> # IIP05_i <dbl>, IIP06_i <dbl>, IIP07_i <dbl>, IIP08_i <dbl>, IIP09_i <dbl>, #> # IIP10_i <dbl>, IIP11_i <dbl>, IIP12_i <dbl>, IIP13_i <dbl>, IIP14_i <dbl>, #> # IIP15_i <dbl>, IIP16_i <dbl>, IIP17_i <dbl>, IIP18_i <dbl>, IIP19_i <dbl>, #> # IIP20_i <dbl>, IIP21_i <dbl>, IIP22_i <dbl>, IIP23_i <dbl>, IIP24_i <dbl>, #> # IIP25_i <dbl>, IIP26_i <dbl>, IIP27_i <dbl>, IIP28_i <dbl>, IIP29_i <dbl>, #> # IIP30_i <dbl>, IIP31_i <dbl>, IIP32_i <dbl>