Compute per-scale internal-consistency reliability — Cronbach's alpha and
McDonald's omega — for the HiTOP Brief-Report (45 items). Reliability is
estimated on the item responses for each of the scales that score_hitopbr()
outputs (the HiTOP-BR has no reverse-keyed items).
Usage
reliability_hitopbr(data, items, srange = c(1, 4), alpha = TRUE, omega = TRUE)Arguments
- data
A data frame containing all HiTOP-BR items (numerically coded).
- items
A vector of column names (as strings) or numbers (as integers) corresponding to the 45 HiTOP-BR items in order. Items must be supplied in instrument order; duplicated entries are an error.
- srange
An optional numeric vector specifying the minimum and maximum values of the HiTOP-BR items, used for reverse-coding. (default =
c(1, 4))- alpha
Optional logical; if
TRUE, include a column of Cronbach's alpha per scale. (default =TRUE)- omega
Optional logical; if
TRUE, include a column of McDonald's omega (total) per scale, estimated via a one-factor CFA (requires the lavaan package). (default =TRUE)
Value
A tibble with one row per scale and columns scale,
nItems, and (when requested) alpha and omega.
Details
Alpha is computed by calc_alpha() (covariance-based, pairwise
deletion) and omega by calc_omega() (one-factor lavaan CFA, FIML). A scale
whose estimate cannot be computed (e.g. too few items or, for omega, a
non-converging CFA or an uninstalled lavaan) is returned as NA
rather than aborting the call. The overlapping externalizing and pFactor
scales are included alongside the six base spectra.
Examples
# Per-scale alpha for the HiTOP-BR
reliability_hitopbr(sim_hitopbr, items = 1:45, omega = FALSE)
#> # A tibble: 8 × 3
#> scale nItems alpha
#> <chr> <int> <dbl>
#> 1 Antagonism 9 -0.160
#> 2 Detachment 6 -0.0706
#> 3 Disinhibition 9 0.145
#> 4 Internalizing 7 0.0344
#> 5 Somatoform 8 0.0527
#> 6 Thought Disorder 6 0.00754
#> 7 Externalizing 10 0.145
#> 8 P Factor 12 -0.111