View source: R/plausible_scores.R
plausible_scores | R Documentation |
Generate plausible i.e., posterior predictive sumscores on a set of items. A typical use of this function is to generate plausible scores on a complete item bank when data is collected using an incomplete design
plausible_scores( dataSrc, parms = NULL, predicate = NULL, items = NULL, covariates = NULL, keep.observed = TRUE, nPS = 1, merge_within_persons = FALSE )
dataSrc |
a connection to a dexter database, a matrix, or a data.frame with columns: person_id, item_id, item_score |
parms |
An object returned by function |
predicate |
an expression to filter data. If missing, the function will use all data in dataSrc |
items |
vector of item_id's, this specifies the itemset to generate the testscores for. If |
covariates |
name or a vector of names of the variables to group the population, used to update the prior. A covariate must be a discrete person covariate (e.g. not a float) that indicates nominal categories, e.g. gender or school If dataSrc is a data.frame, it must contain the covariate. |
keep.observed |
If responses to one or more of the items have been observed, the user can choose to keep these observations or generate new ones. |
nPS |
Number of plausible testscores to generate per person. |
merge_within_persons |
If a person took multiple booklets, this indicates whether plausible scores are generated per person (TRUE) or per booklet (FALSE) |
A data.frame with columns booklet_id, person_id, booklet_score and nPS plausible scores named PS1...PSn.
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