computeMaxCompositeReliability: computeMaxCompositeReliability: multivariate generalizability...
In CompositeReliability: Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset
View source: R/computeMaxCompositeReliability.R
computeMaxCompositeReliability R Documentation
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)
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.
Value
A list containing the composite reliability coefficient, the SEM and the distribution of weights.
Examples
compMaxRel <- computeMaxCompositeReliability(mydata, n=c("A"=3, "B"=2, "C"=1))
compMaxRel$reliability
compMaxRel$SEM
compMaxRel$weights
CompositeReliability documentation built on Aug. 21, 2023, 5:08 p.m.
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View source: R/computeMaxCompositeReliability.R
| computeMaxCompositeReliability | R Documentation |
computeMaxCompositeReliability: multivariate generalizability theory approach to estimate the maximum composite reliability of student performance across different types of assessments.
Description
computeMaxCompositeReliability: multivariate generalizability theory approach to estimate the maximum composite reliability of student performance across different types of assessments.
Usage
computeMaxCompositeReliability(mydata, n)
Arguments
mydata |
A dataframe containing columns ID, Type, Score (numeric) |
n |
A vector containing for each Type the number of score or assessments assessments, e.g. averages, requirements. |
Value
A list containing the composite reliability coefficient, the SEM and the distribution of weights.
Examples
compMaxRel <- computeMaxCompositeReliability(mydata, n=c("A"=3, "B"=2, "C"=1))
compMaxRel$reliability
compMaxRel$SEM
compMaxRel$weights
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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