test.mono.prop.bs

Computes simultaneous confidence intervals for all adjacent pairwise
comparisons of population proportions using group frequency counts and
samples sizes as input. If one or more lower limits are greater than
0 and no upper limit is less than 0, then conclude that the population
proportions are monotonic decreasing. If one or more upper limits are
less than 0 and no lower limits are greater than 0, then conclude that
the population proportions are monotonic increasing. Reject the hypothesis
of a monotonic trend if any lower limit is greater than 0 and any upper
limit is less than 0.

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

test.mono.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

Test of monotonic trend in proportions for an ordered between-subjects
factor — test.mono.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>

test.mono.prop.bs: Test of monotonic trend in proportions for an ordered between-subjects factor

Description

Usage

Value

Arguments

Examples