computeMaxCompositeReliability {CompositeReliability} | 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
```

[Package

*CompositeReliability*version 1.0.3 Index]