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Joint Correct Response Rate

Source: R/02_TestItemFunctions.R
JCRR.Rd

The joint correct response rate (JCRR) is the rate of students who passed both items. This function is applicable only to binary response data. For non-binary data, it will automatically redirect to the JSR function with an appropriate message.

Usage

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

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

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

# S3 method for class 'nominal'
JCRR(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 joint correct response rates with exametrika class. Each element (i,j) represents the proportion of students who correctly answered both items i and j.

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 JCRR using sample dataset J5S10
JCRR(J5S10)
#>        Item01 Item02 Item03 Item04 Item05
#> Item01    0.6    0.3    0.6    0.3    0.2
#> Item02    0.3    0.4    0.4    0.2    0.2
#> Item03    0.6    0.4    0.9    0.3    0.4
#> Item04    0.3    0.2    0.3    0.3    0.2
#> Item05    0.2    0.2    0.4    0.2    0.4