Skip to contents

Conditional Correct Response Rate

Source: R/02_TestItemFunctions.R
CCRR.Rd

The conditional correct response rate (CCRR) represents the ratio of the students who passed Item C (consequent item) to those who passed Item A (antecedent item). This function is applicable only to binary response data.

Usage

CCRR(U, na = NULL, Z = NULL, w = NULL)

# Default S3 method
CCRR(U, na = NULL, Z = NULL, w = NULL)

# S3 method for class 'binary'
CCRR(U, na = NULL, Z = NULL, w = NULL)

# S3 method for class 'nominal'
CCRR(U, na = NULL, Z = NULL, w = NULL)

Arguments

U

Either an object of class "exametrika" or raw data. When raw data is given, it is converted to the exametrika class with the dataFormat function.

na

Values to be treated as missing values.

Z

Missing indicator matrix of type matrix or data.frame. Values of 1 indicate observed responses, while 0 indicates missing data.

w

Item weight vector specifying the relative importance of each item.

Value

A matrix of conditional correct response rates with exametrika class. Each element (i,j) represents the probability of correctly answering item j given that item i was answered correctly.

Note

This function is implemented using a binary data compatibility wrapper and will raise an error if used with polytomous data.

Examples

# example code
# Calculate CCRR using sample dataset J5S10
CCRR(J5S10)
#>        Item01 Item02 Item03 Item04 Item05
#> Item01  1.000  0.500      1  0.500  0.333
#> Item02  0.750  1.000      1  0.500  0.500
#> Item03  0.667  0.444      1  0.333  0.444
#> Item04  1.000  0.667      1  1.000  0.667
#> Item05  0.500  0.500      1  0.500  1.000