size.ci.lc.prop.bs

Computes the sample size in each group (assuming equal sample sizes) required
to estimate a linear contrast of population proportions with desired confidence
interval precision in a between-subjects design. Set the proportion planning
values to .5 for a conservatively large sample size.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. The sample size functions can be used to approximate the
sample size needed to estimate a parameter or function of parameters
with desired confidence interval precision or to perform a variety of
hypothesis tests (directional two-sided, equivalence, superiority,
noninferiority) with desired power. For details see: Statistical Methods
for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

size.ci.lc.prop.bs function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>p</dt>
<dd>vector of proportion planning values</dd>
<dt>w</dt>
<dd>desired confidence interval width</dd>
<dt>v</dt>
<dd>vector of between-subjects contrast coefficients</dd></dl>

Arguments

Sample size for a between-subjects proportion linear contrast confidence
interval — size.ci.lc.prop.bs

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>p</dt>
<dd>vector of proportion planning values</dd>


<dt>w</dt>
<dd>desired confidence interval width</dd>


<dt>v</dt>
<dd>vector of between-subjects contrast coefficients</dd>

</dl>

size.ci.lc.prop.bs: Sample size for a between-subjects proportion linear contrast confidence interval

Description

Usage

Value

Arguments

Examples