size.test.slope.gen

Computes the sample size required to test a null hypothesis with desired
power that a population slope coefficient in any general statistical model
is equal to zero. 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.test.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.test.slope.gen function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>pow</dt>
<dd>desired power</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>b</dt>
<dd>planning value of population slope</dd></dl>

Arguments

Sample size for a slope hypothesis test in a general statistical model — size.test.slope.gen

<dl>

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


<dt>pow</dt>
<dd>desired power</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>b</dt>
<dd>planning value of population slope</dd>

</dl>

size.test.slope.gen: Sample size for a slope hypothesis test in a general statistical model

Description

Usage

Value

Arguments

Examples