medserial

Compute Power for Serial Mediation Effects
Requires correlations between all variables as sample size.
This approach calculates power for the serial mediation using
joint significance (recommended)

Statistical power analysis for designs including t-tests, correlations,
multiple regression, ANOVA, mediation, and logistic regression. Functions accompany
Aberson (2019) <doi:10.4324/9781315171500>.

Chris Aberson

pwr2ppl

Power Analyses for Common Designs (Power to the People)

medserial function

<dl><dt>rxm1</dt>
<dd>Correlation between predictor (x) and first mediator (m1)</dd>
<dt>rxm2</dt>
<dd>Correlation between predictor (x) and second mediator (m2)</dd>
<dt>rxy</dt>
<dd>Correlation between DV (y) and predictor (x)</dd>
<dt>rm1m2</dt>
<dd>Correlation first mediator (m1) and second mediator (m2)</dd>
<dt>rym1</dt>
<dd>Correlation between DV (y) and first mediator (m1)</dd>
<dt>rym2</dt>
<dd>Correlation between DV (y) and second mediator (m2)</dd>
<dt>n</dt>
<dd>sample size</dd>
<dt>alpha</dt>
<dd>Type I error (default is .05)</dd>
<dt>rep</dt>
<dd>number of repetitions (1000 is default)</dd></dl>

Arguments

Compute Power for Serial Mediation Effects
Requires correlations between all variables as sample size.
This approach calculates power for the serial mediation using
joint significance (recommended) — medserial

<dl>

<dt>rxm1</dt>
<dd>Correlation between predictor (x) and first mediator (m1)</dd>


<dt>rxm2</dt>
<dd>Correlation between predictor (x) and second mediator (m2)</dd>


<dt>rxy</dt>
<dd>Correlation between DV (y) and predictor (x)</dd>


<dt>rm1m2</dt>
<dd>Correlation first mediator (m1) and second mediator (m2)</dd>


<dt>rym1</dt>
<dd>Correlation between DV (y) and first mediator (m1)</dd>


<dt>rym2</dt>
<dd>Correlation between DV (y) and second mediator (m2)</dd>


<dt>n</dt>
<dd>sample size</dd>


<dt>alpha</dt>
<dd>Type I error (default is .05)</dd>


<dt>rep</dt>
<dd>number of repetitions (1000 is default)</dd>

</dl>

Compute Power for Serial Mediation Effects
Requires correlations between all variables as sample size.
This approach calculates power for the serial mediation using
joint significance (recommended)

medserial: Compute Power for Serial Mediation Effects Requires correlations between all variables as sample size. This approach calculates power for the serial mediation using joint significance (recommended)

Description

Usage

Value

Arguments

Examples