test.mono.mean.bs

Computes simultaneous confidence intervals for all adjacent pairwise
comparisons of population means using estimated group means, estimated
group standard deviations, and samples sizes as input. Equal variances are
not assumed. A Satterthwaite adjustment to the degrees of freedom is used
to improve the accuracy of the confidence intervals. If one or more lower
limits are greater than 0 and no upper limit is less than 0, then conclude
that the population means 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 means 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.mean.bs function

<dl><dt>alpha</dt>
<dd>alpha level for simultaneous 1-alpha confidence</dd>
<dt>m</dt>
<dd>vector of estimated group means</dd>
<dt>sd</dt>
<dd>vector of estimated group standard deviations</dd>
<dt>n</dt>
<dd>vector of sample sizes</dd></dl>

Arguments

Test of a monotonic trend in means for an ordered between-subjects factor — test.mono.mean.bs

<dl>

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


<dt>m</dt>
<dd>vector of estimated group means</dd>


<dt>sd</dt>
<dd>vector of estimated group standard deviations</dd>


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

</dl>

test.mono.mean.bs: Test of a monotonic trend in means for an ordered between-subjects factor

Description

Usage

Value

Arguments

Examples