# fSquared: seminr fSquared Function In seminr: Building and Estimating Structural Equation Models

 fSquared R Documentation

## seminr fSquared Function

### Description

The `fSquared` function calculates f^2 effect size for a given IV and DV

### Usage

```fSquared(seminr_model, iv, dv)
```

### Arguments

 `seminr_model` A `seminr_model` containing the estimated seminr model. `iv` An independent variable in the model. `dv` A dependent variable in the model.

### Value

A matrix of the estimated F Square metric for each construct.

### References

Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge.

### Examples

```mobi_mm <- constructs(
reflective("Image",        multi_items("IMAG", 1:5)),
reflective("Expectation",  multi_items("CUEX", 1:3)),
reflective("Quality",      multi_items("PERQ", 1:7)),
reflective("Value",        multi_items("PERV", 1:2)),
reflective("Satisfaction", multi_items("CUSA", 1:3)),
reflective("Complaints",   single_item("CUSCO")),
reflective("Loyalty",      multi_items("CUSL", 1:3))
)

mobi_sm <- relationships(
paths(from = "Image",        to = c("Expectation", "Satisfaction", "Loyalty")),
paths(from = "Expectation",  to = c("Quality", "Value", "Satisfaction")),
paths(from = "Quality",      to = c("Value", "Satisfaction")),
paths(from = "Value",        to = c("Satisfaction")),
paths(from = "Satisfaction", to = c("Complaints", "Loyalty")),
paths(from = "Complaints",   to = "Loyalty")
)

mobi_pls <- estimate_pls(data = mobi,
measurement_model = mobi_mm,
structural_model = mobi_sm)

fSquared(mobi_pls, "Image", "Satisfaction")
```

seminr documentation built on Oct. 13, 2022, 1:05 a.m.