ci.2x2.stdmean.ws

Computes confidence intervals for standardized AB interaction effect, main
effect of A, main effect of B, simple main effects of A, and simple main
effects of B in a 2x2 within-subjects factorial design. Equality of
population variances is not assumed. A square root unweighted average
variance standardizer is used.

Implements confidence interval and sample size methods that are especially
useful in psychological research but are also useful in educational, social science,
business, and biological research. This package includes more than 100 confidence
interval functions and more than 80 sample size functions for 1-group, 2-group,
paired-samples, and multiple-group designs and for a variety of parameters including
means, medians, proportions, slopes, standardized mean differences, standardized
linear contrasts of means, and several measures of correlation and association. 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 about these methods 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.2x2.stdmean.ws function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>y11</dt>
<dd>vector of scores at level 1 of A and level 1 of B</dd>
<dt>y12</dt>
<dd>vector of scores at level 1 of A and level 2 of B</dd>
<dt>y21</dt>
<dd>vector of scores at level 2 of A and level 1 of B</dd>
<dt>y22</dt>
<dd>vector of scores at level 2 of A and level 2 of B</dd></dl>

Arguments

Computes confidence intervals of standardized effects in a 2x2
within-subjects design — ci.2x2.stdmean.ws

<dl>

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


<dt>y11</dt>
<dd>vector of scores at level 1 of A and level 1 of B</dd>


<dt>y12</dt>
<dd>vector of scores at level 1 of A and level 2 of B</dd>


<dt>y21</dt>
<dd>vector of scores at level 2 of A and level 1 of B</dd>


<dt>y22</dt>
<dd>vector of scores at level 2 of A and level 2 of B</dd>

</dl>

ci.2x2.stdmean.ws: Computes confidence intervals of standardized effects in a 2x2 within-subjects design

Description

Usage

Value

Arguments

References

Examples