DStudy                  DStudy: the program presents the reliability
                        coefficient and the SEM for different numbers
                        of assessments per type. Both the reliability
                        coefficient and the SEM are presented in graphs
                        for differing numbers of assessments, given
                        insight in the impact on the reliability if
                        more or less assessments per type were required
                        or advised.
GStudy                  GStudy for a dataset in which every student p
                        has a potentially differing number of scores i
                        on each assessment type m. i.e. model i: (p x
                        m). The output gives descriptive statistics,
                        reliability coefficient and SEM for each
                        assessment type.
GStudyPerType           GStudyPerType: This function is mainly used
                        within calculateVarCov.R, but can be executed
                        on its own to determine the reliability
                        coefficient and SEM for a dataset with a single
                        type of assessment.
calculateReliability    calculateReliability: determine the reliability
                        and SEM per Type
calculateVarCov         calculateVarCov: Estimate variance and
                        covariance components of assessee p S_p and
                        mean assessment scores i nested in assessees
                        S_iINp, and determine the error scores S_delta
checkDatasets           checkDatasets: assert that the given datasets
                        adhere to the assumptions and requirements of
                        this package i.e. the data set 'mydata' is a
                        dataframe with 3 columns, named "ID", "Type"
                        and "Score", column "Score" contains numeric
                        data, and each combination of "ID" and "Type"
                        exists at least once, data set n contains a
                        numerical value for each "Type", and data set
                        weights contains a numerical value for each
                        "Type" and the sum of all values is equal to 1.
computeCompositeReliability
                        computeCompositeReliability: multivariate
                        generalizability theory approach to estimate
                        the composite reliability of student
                        performance across different types of
                        assessments.
computeMaxCompositeReliability
                        computeMaxCompositeReliability: multivariate
                        generalizability theory approach to estimate
                        the maximum composite reliability of student
                        performance across different types of
                        assessments.
mydata                  mydata
