CompositeReliability (version 1.0.3)

computeMaxCompositeReliability: computeMaxCompositeReliability: multivariate generalizability theory approach to estimate the maximum composite reliability of student performance across different types of assessments.

Description

computeMaxCompositeReliability: multivariate generalizability theory approach to estimate the maximum composite reliability of student performance across different types of assessments.

Usage

computeMaxCompositeReliability(mydata, n)

Value

A list containing the composite reliability coefficient, the SEM and the distribution of weights.

Arguments

mydata

A dataframe containing columns ID, Type, Score (numeric)

n

A vector containing for each Type the number of score or assessments assessments, e.g. averages, requirements.

Examples

# \donttest{
compMaxRel <- computeMaxCompositeReliability(mydata, n=c("A"=3, "B"=2, "C"=1))
compMaxRel$reliability
compMaxRel$SEM
compMaxRel$weights
# }