ci.condslope.log

Computes confidence intervals and test statistics for population
conditional slopes (simple slopes) in a logistic model that
includes a predictor variable (x1), a moderator variable (x2),
and a product predictor variable (x1*x2). Conditional slopes are
computed at low and high values of the moderator variable.
For more details, see Section 4.9 of Bonett (2021, Volume 3)

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.condslope.log function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>b1</dt>
<dd>estimated slope coefficient for predictor variable</dd>
<dt>b2</dt>
<dd>estimated slope coefficient for product variable</dd>
<dt>se1</dt>
<dd>standard error for predictor coefficient</dd>
<dt>se2</dt>
<dd>standard error for product coefficient</dd>
<dt>cov</dt>
<dd>estimated covariance between predictor and product coefficients</dd>
<dt>lo</dt>
<dd>low value of moderator variable</dd>
<dt>hi</dt>
<dd>high value of moderator variable</dd></dl>

Arguments

Confidence intervals for conditional (simple) slopes in a logistic model — ci.condslope.log

<dl>

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


<dt>b1</dt>
<dd>estimated slope coefficient for predictor variable</dd>


<dt>b2</dt>
<dd>estimated slope coefficient for product variable</dd>


<dt>se1</dt>
<dd>standard error for predictor coefficient</dd>


<dt>se2</dt>
<dd>standard error for product coefficient</dd>


<dt>cov</dt>
<dd>estimated covariance between predictor and product coefficients</dd>


<dt>lo</dt>
<dd>low value of moderator variable</dd>


<dt>hi</dt>
<dd>high value of moderator variable</dd>

</dl>

ci.condslope.log: Confidence intervals for conditional (simple) slopes in a logistic model

Description

Usage

Value

Arguments

References

Examples