Simulated responses to items on the HiTOP-BR (with 45 items). Note that this is a naive simulation where response options 1 to 4 are all equally likely and generated independently per item. Thus, responses are not clustered within scales, and these data can be used (eventually) to test validity tools intended to detect inconsistent/random responding.
Examples
sim_hitopbr
#> # A tibble: 100 × 45
#> hbr_01 hbr_02 hbr_03 hbr_04 hbr_05 hbr_06 hbr_07 hbr_08 hbr_09 hbr_10 hbr_11
#> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int> <int>
#> 1 3 3 3 2 2 3 2 1 2 3 4
#> 2 1 2 2 4 1 1 3 3 2 3 4
#> 3 3 4 3 2 1 1 2 1 3 4 1
#> 4 1 3 3 2 3 3 2 1 2 2 2
#> 5 4 4 4 3 1 2 3 2 1 1 4
#> 6 1 3 3 3 3 3 4 1 4 3 2
#> 7 2 2 4 3 4 3 1 2 4 1 4
#> 8 3 3 1 2 3 4 1 4 1 1 1
#> 9 2 4 1 1 2 2 2 3 1 3 1
#> 10 4 2 4 2 4 4 1 4 3 4 3
#> # ℹ 90 more rows
#> # ℹ 34 more variables: hbr_12 <int>, hbr_13 <int>, hbr_14 <int>, hbr_15 <int>,
#> # hbr_16 <int>, hbr_17 <int>, hbr_18 <int>, hbr_19 <int>, hbr_20 <int>,
#> # hbr_21 <int>, hbr_22 <int>, hbr_23 <int>, hbr_24 <int>, hbr_25 <int>,
#> # hbr_26 <int>, hbr_27 <int>, hbr_28 <int>, hbr_29 <int>, hbr_30 <int>,
#> # hbr_31 <int>, hbr_32 <int>, hbr_33 <int>, hbr_34 <int>, hbr_35 <int>,
#> # hbr_36 <int>, hbr_37 <int>, hbr_38 <int>, hbr_39 <int>, hbr_40 <int>, …