d_eq_spaced

This function calculates the equally spaced differences between means in a
one-way ANOVA setup. It is based on the formula presented in Vanbrabant et al.
(2015) for calculating differences between means, d.

Offering enhanced statistical power compared to traditional
hypothesis testing methods, informative hypothesis testing allows researchers
to explicitly model their expectations regarding the relationships among
parameters. An important software tool for this framework is 'restriktor'.
The 'mmirestriktor' package provides 'shiny' web applications to implement
some of the basic functionality of 'restriktor'. The mmirestriktor() function
launches a 'shiny' application for fitting and analyzing models with
constraints. The FbarCards() function launches a card game application which
can help build intuition about informative hypothesis testing. The
iht_interpreter() helps interpret informative hypothesis testing results based
on guidelines in Vanbrabant and Rosseel (2020) <doi:10.4324/9780429273872-14>.

Mackson Ncube

mmirestriktor

Informative Hypothesis Testing Web Applications

mightymetrika, LLC 

d_eq_spaced function

<dl><dt>k</dt>
<dd>An integer representing the number of groups (k = 3, ..., 8).</dd>
<dt>f</dt>
<dd>A numeric value representing the effect size (f = 0.10, 0.15, 0.20,
0.25, 0.30, 0.40). Typical values represent small (0.10), medium (0.25), and
large (0.40) effects.</dd></dl>

Arguments

Calculate Equally Spaced Differences — d_eq_spaced

<dl>

<dt>k</dt>
<dd>An integer representing the number of groups (k = 3, ..., 8).</dd>


<dt>f</dt>
<dd>A numeric value representing the effect size (f = 0.10, 0.15, 0.20,
0.25, 0.30, 0.40). Typical values represent small (0.10), medium (0.25), and
large (0.40) effects.</dd>

</dl>

d_eq_spaced: Calculate Equally Spaced Differences

Description

Usage

Value

Arguments

References

Examples