bridgr.eval.bias: Evaluate grading bias

In sidakyntiso/bridgr: Bridging the Grading Gap

Evaluate grading bias

Description

bridgr.eval.bias assesses evidence of bias in grading data. Specifically, this function uses a set of common or bridging exams to evaluate whether graders systematically differ from each other.

Usage

bridgr.eval.bias(bridgr.dat, plot = TRUE, tbl = TRUE)

Arguments

bridgr.dat	A bridgr.data object.
plot	Whether to plot empirical CDF of grades by grader.
tbl	Whether to plot tabulate evidence of bias in grading data.

Value

mae Vector containing the mean absolute error of grades and ranks for bridging exams.

rmse Vector containing the root-mean squared error of grades and ranks for bridging exams.

bounds Minimum and maximum values for the MAE and RMSE of ranks.

fstat F-statistic and associated p-value for grades.

Examples

data("bridgr.sim.data")
# Re-structure the input grading dataset.
bridgr.dat <- bridgr.data(df=bridgr.sim.data,student="student",
grader.assigned = "grader.assigned", grader="grader",grade="grade")

# Evaluate grading bias using bridging observations
bridgr.eval.bias(bridgr.dat=bridgr.dat,plot=FALSE,tbl=TRUE)

sidakyntiso/bridgr documentation built on Feb. 11, 2023, 4:18 p.m.