ci.pairs.prop.bs

Computes adjusted Wald confidence intervals for all pairwise differences
of population proportions in a between-subjects design using a Bonferroni
adjusted alpha level.

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

ci.pairs.prop.bs function

<dl><dt>alpha</dt>
<dd>alpha level for simultaneous 1-alpha confidence</dd>
<dt>f</dt>
<dd>vector of frequency counts of participants who have the attribute</dd>
<dt>n</dt>
<dd>vector of sample sizes</dd></dl>

Arguments

Bonferroni confidence intervals for all pairwise proportion differences
in a between-subjects design — ci.pairs.prop.bs

<dl>

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


<dt>f</dt>
<dd>vector of frequency counts of participants who have the attribute</dd>


<dt>n</dt>
<dd>vector of sample sizes</dd>

</dl>

ci.pairs.prop.bs: Bonferroni confidence intervals for all pairwise proportion differences in a between-subjects design

Description

Usage

Value

Arguments

References

Examples