partial_credit_analysis {door} | R Documentation |
Partial credit analysis for DOOR
Description
Partial credit analysis for DOOR
Usage
partial_credit_analysis(
grade_key,
y1 = NULL,
y2 = NULL,
n1 = NULL,
n2 = NULL,
summary_obj = NULL,
data_type = c("freq", "prop"),
ci_method = "halperin",
conf_level = 0.95,
...
)
Arguments
grade_key |
A numeric vector of grade key or a dataframe contains columns of grade keys |
y1 , y2 |
Numeric vectors of DOOR proportion or frequency distribution for group 1, group 2. The entries should be ordered from most desirable to least desirable |
n1 , n2 |
Sample sizes of group 1, group 2; must be specified if method = "prop" |
summary_obj |
An object returned by |
data_type |
Either "freq" for frequency input or "prop" for proportion input when using y1 and y2 |
ci_method |
Specify the type of CI for DOOR probability given a grade key. The default is "halperin" for Halperin et al. (1989)'s method. Other options include "ps_h" for pseudo-score approach for Halperin's method and "tanh" for inverse hyperbolc tangent transformed method |
conf_level |
Confidence level |
... |
Optional additional parameters if |
Value
An object containing information of partial credit analysis given grade keys
Examples
grade.key <- c(100, 80, 60, 40, 0)
y1 <- c(60, 30, 20, 10, 5)
y2 <- c(50, 40, 10, 20, 5)
partial_credit_analysis(grade_key = grade.key, y1 = y1, y2 = y2)