score_bpq | R Documentation |
Score the Borderline Personality Questionnaire (BPQ)
score_bpq(
df,
item_prefix = "BPQ_",
max_impute = 0.2,
drop_items = FALSE,
keep_reverse_codes = FALSE,
input_codes = c(0, 1),
false_value = 0,
true_value = 1,
bad_items = NULL,
add_alphas = TRUE
)
df |
a data.frame containing the 80 BPQ 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 scale. Below this threshold, the person subscale mean will be imputed for missing items. |
drop_items |
whether to remove the item-level data from the |
keep_reverse_codes |
whether to retain the reverse coded items (suffix "r") |
input_codes |
the original T/F coding scheme of the input data.frame in the form c(False Code, True Code). These are converted to the specified false and true values. |
false_value |
the 'False' value for the item anchors, used in score validation. Default: 0 |
true_value |
the 'True' value for the item anchors, used in score validation. Default: 1 |
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 ten columns, BPQ_impulsivity
, BPQ_instability
, BPQ_abandonment
, BPQ_relationships
, BPQ_selfimage
, BPQ_suicide
, BPQ_emptiness
, BPQ_anger
, BPQ_psychotic
, and BPQ_total
, to df
containing
the different subscales, respectively.
Note: the default BPQ scoring uses the mean of the items for the scales.
Note: the code assumes that pasting together the item_prefix
and the numbers 1:80
will yield the 80 items from the test.
Michael Hallquist, Zach Vig
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