summary.power

This function is adpated from the <code>lavaan</code> summary function to put the results in a table.

Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang (2014) <doi:10.3758/s13428-013-0424-0>.

Zhiyong Zhang

bmem

Mediation Analysis with Missing Data Using Bootstrap

summary.power function

<dl> <dt>object</dt>
<dd>Output from the function either <code>power.basic</code> or <code>power.boot</code>.</dd><dt>...</dt>
<dd>Other options</dd></dl>

Arguments

Organize the results into a table — summary.power

<dl>

 <dt>object</dt>
<dd>Output from the function either <code>power.basic</code> or <code>power.boot</code>.</dd>

<dt>...</dt>
<dd>Other options</dd>

</dl>

summary.power: Organize the results into a table

Description

Usage

Arguments