score_upps | R Documentation |
Score the UPPS-P Impulsive Behavior scale – revised 59 item version (Lynam, Smith, Whiteside, & Cyders, 2007)
score_upps(
df,
item_prefix = "UPPS_",
max_impute = 0.2,
drop_items = FALSE,
keep_reverse_codes = FALSE,
min_value = 1,
max_value = 4,
bad_items = NULL,
add_alphas = TRUE
)
df |
a data.frame containing the 59 UPPS 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") |
min_value |
the minimum value for the item anchors, used in reverse scoring. Default: 1 |
max_value |
the highest value for the item anchors, used in reverse scoring. Default: 4 |
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 five columns, UPPS_negative_urgency
, UPPS_lack_premeditation
, UPPS_lack_perseverance
, UPPS_sensation_seeking
, UPPS_positive_urgency
, to df
containing
the UPPS-P subscales, respectively.
Note: the default UPPS scoring uses the mean of the items for the scales.
Note: the code assumes that pasting together the item_prefix
and the numbers 1:59
will yield the 59 items from the test.
See: http://web.archive.org/web/20190710205448/http://www.impulsivity.org/measurement/UPPS-P_59_item.pdf
Michael Hallquist, Zach Vig
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