calculateFLCriterion {cSEM} | R Documentation |

## Fornell-Larcker criterion

### Description

Computes the Fornell-Larcker matrix.

### Usage

```
calculateFLCriterion(
.object = NULL,
.only_common_factors = TRUE,
...
)
```

### Arguments

`.object` |
An R object of class cSEMResults resulting from a call to |

`.only_common_factors` |
Logical. Should only concepts modeled as common
factors be included when calculating one of the following quality criteria:
AVE, the Fornell-Larcker criterion, HTMT, and all reliability estimates.
Defaults to |

`...` |
Ignored. |

### Details

The Fornell-Larcker criterion (FL criterion) is a rule suggested by Fornell and Larcker (1981) to assess discriminant validity. The Fornell-Larcker criterion is a decision rule based on a comparison between the squared construct correlations and the average variance extracted (AVE).

The FL criterion is inherently tied to the common factor model. It is therefore unclear how to meaningfully interpret the FL criterion in the context of a model that contains constructs modeled as composites.

### Value

A matrix with the squared construct correlations on the off-diagonal and the AVE's on the main diagonal.

### References

Fornell C, Larcker DF (1981).
“Evaluating structural equation models with unobservable variables and measurement error.”
*Journal of Marketing Research*, **XVIII**, 39–50.

### See Also

*cSEM*version 0.5.0 Index]