Description Usage Arguments Details Value Examples

This function displays eta squared from ANOVA analyses and their non-central confidence interval based on the F distribution. These values are calculated directly from F statistics and can be used for between subjects and repeated measures designs. Remember if you have two or more IVs, these values are partial eta squared.

1 | ```
eta.F(dfm, dfe, Fvalue, a = 0.05)
``` |

`dfm` |
degrees of freedom for the model/IV/between |

`dfe` |
degrees of freedom for the error/residual/within |

`Fvalue` |
F statistic |

`a` |
significance level |

Eta is calculated by multiplying the degrees of freedom of the model by the F-statistic. This is divided by the product of degrees of freedom of the model, the F-statistic, and the degrees of freedom for the error or residual.

eta^2 = (dfm * Fvalue) / (dfm * Fvalue + dfe)

Learn more on our example page.

Provides eta with associated confidence intervals and relevant statistics.

`eta` |
effect size |

`etalow` |
lower level confidence interval of eta |

`etahigh` |
upper level confidence interval of eta |

`dfm` |
degrees of freedom for the model/IV/between |

`dfe` |
degrees of freedom for the error/resisual/within |

`F` |
F-statistic |

`p` |
p-value |

`estimate` |
the eta squared statistic and confidence interval in APA style for markdown printing |

`statistic` |
the F-statistic in APA style for markdown printing |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
#The following example is derived from the "bn1_data" dataset, included
#in the MOTE library.
#A health psychologist recorded the number of close inter-personal
#attachments of 45-year-olds who were in excellent, fair, or poor
#health. People in the Excellent Health group had 4, 3, 2, and 3
#close attachments; people in the Fair Health group had 3, 5,
#and 8 close attachments; and people in the Poor Health group
#had 3, 1, 0, and 2 close attachments.
anova_model = lm(formula = friends ~ group, data = bn1_data)
summary.aov(anova_model)
eta.F(dfm = 2, dfe = 8,
Fvalue = 5.134, a = .05)
``` |

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