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

## Description

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

## Usage

 `1` ```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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24``` ```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 Sept. 5, 2021, 5:36 p.m.