Description Usage Arguments Value Author(s) References See Also Examples

Provides complete Posterior as well as its various summary statistics for "Partial Eta-Squared" in Fixed-Effects AN(C)OVA Designs.

1 |

`f` |
Observed F-value from a main or an interaction effect. |

`N` |
Total design sample size. |

`df1` |
Degress of freedom for the effect in question aka "Numerator". |

`df2` |
Degrees of freedom "Error" aka "Denominator", "Within" or "Residual". |

`alpha` |
shape1 parameter of a "Beta Prior". |

`beta` |
shape2 parameter of a "Beta Prior". |

Provides graphical as well as full textual description of posterior distribution of "Partial Eta-Squared".

Reza Norouzian <rnorouzian@gmail.com>

Norouzian, R. & Plonsky, L. (2017). Eta- and partial eta-squared in L2 research: A cautionary review and guide to more appropriate usage. Second Language Research, pp.1-15. doi: 10.1177/0267658316684904

Use function `Beta_ID`

provided in this package to find an appropriate "Beta Prior" in your specific domain
of resaerch.

Norouzian R., & L. Plonsky (2017) available at: http://journals.sagepub.com/doi/abs/10.1177/0267658316684904

This supplemetary document also briefly explains when Partial Eta Squared should be used: https://osf.io/7acye/

1 2 3 4 5 | ```
# P_eta_sq(f = 10, N = 60, df1 = 2, df2 = 57, alpha = 2.55, beta = 3.42)
# Note that, the "P_eta_sq(...)" when applied to ONE-WAY designs, is basically
# the same as "ETA-SQUARED" but when "P_eta_sq(...)" is applied to factorial
# designs it produces "PARTIAL ETA-SQUARED".
``` |

rnorouzian/BayesianforL2 documentation built on May 29, 2019, 8:37 a.m.

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