d_prec

Compute Precision Analyses for Standardized Mean Differences

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)

d_prec function

<dl><dt>d</dt>
<dd>Standardized means difference between groups</dd>
<dt>nlow</dt>
<dd>starting sample size</dd>
<dt>nhigh</dt>
<dd>ending sample size</dd>
<dt>propn1</dt>
<dd>Proportion in First Group</dd>
<dt>ci</dt>
<dd>Type of Confidence Interval (e.g., .95)</dd>
<dt>tails</dt>
<dd>number of tails for test (default is 2)</dd>
<dt>by</dt>
<dd>Incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)</dd></dl>

Arguments

Compute Precision Analyses for Standardized Mean Differences — d_prec

<dl>

<dt>d</dt>
<dd>Standardized means difference between groups</dd>


<dt>nlow</dt>
<dd>starting sample size</dd>


<dt>nhigh</dt>
<dd>ending sample size</dd>


<dt>propn1</dt>
<dd>Proportion in First Group</dd>


<dt>ci</dt>
<dd>Type of Confidence Interval (e.g., .95)</dd>


<dt>tails</dt>
<dd>number of tails for test (default is 2)</dd>


<dt>by</dt>
<dd>Incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)</dd>

</dl>

d_prec: Compute Precision Analyses for Standardized Mean Differences

Description

Usage

Value

Arguments

Examples