score_cts | R Documentation |
Score the Conflict Tactics Scale (CTS)
score_cts(
df,
item_prefix = "CTS_",
max_impute = 0.2,
drop_items = FALSE,
min_value = 1,
max_value = 7,
bad_items = NULL,
add_alphas = TRUE
)
df |
a data.frame containing the 40 CTS items to be scored |
item_prefix |
a character prefix of the items names in |
max_impute |
the proportion of missingness [0..1) or number [1..n] of missing values per subscale. Default: 0.2 Below this, the mean will be imputed for missing items. |
drop_items |
whether to remove the item-level data from the |
min_value |
the lowest value for the items anchors, used to check response validity. Default: 1 |
max_value |
the highest value for the items anchors, used to check response validity. Default: 7 |
bad_items |
numeric value or vector of the items that need to be dropped before imputation or calculation of subscales |
add_alphas |
whether to compute coefficient alpha for subscales and return a column attribute. Default: TRUE |
Adds fifteen columns, twelve subscales, two domain scales, and one total, to df
.
Note: the default CTS scoring uses the mean of the items for the scales.
Note: the code assumes that pasting together the item_prefix
and the numbers 1:40
will yield the 40 items from the test.
Michael Hallquist, Zach Vig
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