Omega_S {BifactorIndicesCalculator} R Documentation

## Omega_S

### Description

Computes an omega reliability estimate for all factors as described in Rodriguez, Reise, and Haviland (2016).

### Usage

```Omega_S(Lambda, Theta)
```

### Arguments

 `Lambda` is a matrix of factor loadings `Theta` is a vector of indicator error variances

### Details

`Omega_S` is called by `bifactorIndices` and the various convenience functions for exploratory models and/or Mplus output, which are the only functions in this package intended for casual users.

### Value

A `numeric`, the omega reliability estimate for all factors.

### References

Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: calculating and interpreting statistical indices. Psychological Methods, 21(2), 137 doi: 10.1037/met0000045.

`Omega_H`, `bifactorIndices`

### Examples

```Lambda <- matrix(c(.82, .10,   0,   0,
.77, .35,   0,   0,
.79, .32,   0,   0,
.66, .39,   0,   0,
.51,   0, .71,   0,
.56,   0, .43,   0,
.68,   0, .13,   0,
.60,   0, .50,   0,
.83,   0,   0, .47,
.60,   0,   0, .27,
.78,   0,   0, .28,
.55,   0,   0, .75),
ncol = 4, byrow = TRUE)
colnames(Lambda) <- c("General", "SF1", "SF2", "SF3")
Theta <- rep(1, nrow(Lambda)) - rowSums(Lambda^2)
Omega_S(Lambda, Theta)

```

[Package BifactorIndicesCalculator version 0.2.2 Index]