size.ci.slope.gen

Computes the sample size required to estimate a slope coefficient with
desired confidence interval precision in any type of statistical model.
This function requires a standard error estimate for the slope of interest
from a prior or pilot study and the sample size that was used in the prior
or pilot study. This function can be used for both unstandardized and
standardized slopes. This function also can be used for both unstandardized
and standardized factor loadings in a confirmatory factor analysis model.
This function will soon be replaced with size.ci.gen.

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.slope.gen function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>se</dt>
<dd>standard error of slope from prior/pilot study</dd>
<dt>n0</dt>
<dd>sample size used in prior/pilot study</dd>
<dt>w</dt>
<dd>desired confidence interval width</dd></dl>

Arguments

Sample size for a slope confidence interval in a general statistical model — size.ci.slope.gen

<dl>

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


<dt>se</dt>
<dd>standard error of slope from prior/pilot study</dd>


<dt>n0</dt>
<dd>sample size used in prior/pilot study</dd>


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

</dl>

Get 50% off unlimited learning

size.ci.slope.gen: Sample size for a slope confidence interval in a general statistical model

Description

Usage

Value

Arguments

Examples