ci.lc.gen.bs

Computes the estimate, standard error, and approximate confidence interval
for a linear contrast of any type of parameter where each parameter value has
been estimated from a different sample. The parameter values are assumed to
be of the same type and their sampling distributions are assumed to be
approximately normal.

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.lc.gen.bs function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>est</dt>
<dd>vector of parameter estimates</dd>
<dt>se</dt>
<dd>vector of standard errors</dd>
<dt>v</dt>
<dd>vector of contrast coefficients</dd></dl>

Arguments

Confidence interval for a linear contrast of parameters in a between-subjects
design — ci.lc.gen.bs

<dl>

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


<dt>est</dt>
<dd>vector of parameter estimates</dd>


<dt>se</dt>
<dd>vector of standard errors</dd>


<dt>v</dt>
<dd>vector of contrast coefficients</dd>

</dl>

ci.lc.gen.bs: Confidence interval for a linear contrast of parameters in a between-subjects design

Description

Usage

Value

Arguments

Examples