medserial_paths

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) and path coefficients

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_paths function

<dl><dt>a1</dt>
<dd>path between predictor and first mediator</dd>
<dt>a2</dt>
<dd>path between predictor and first mediator</dd>
<dt>b1</dt>
<dd>Path between first mediator and dependent variable</dd>
<dt>b2</dt>
<dd>Path between first mediator and dependent variable</dd>
<dt>d</dt>
<dd>Path first mediator (m1) and second mediator (m2)</dd>
<dt>cprime</dt>
<dd>Path between predictor and dependent variable</dd>
<dt>n</dt>
<dd>Sample size</dd>
<dt>alpha</dt>
<dd>Type I error (default is .05)</dd>
<dt>reps</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) and path coefficients — medserial_paths

<dl>

<dt>a1</dt>
<dd>path between predictor and first mediator</dd>


<dt>a2</dt>
<dd>path between predictor and first mediator</dd>


<dt>b1</dt>
<dd>Path between first mediator and dependent variable</dd>


<dt>b2</dt>
<dd>Path between first mediator and dependent variable</dd>


<dt>d</dt>
<dd>Path first mediator (m1) and second mediator (m2)</dd>


<dt>cprime</dt>
<dd>Path between predictor and dependent variable</dd>


<dt>n</dt>
<dd>Sample size</dd>


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


<dt>reps</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) and path coefficients

medserial_paths: 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) and path coefficients

Description

Usage

Value

Arguments

Examples