plot.cnormBetaBinomial2

This function creates a visualization of a fitted cnormBetaBinomial2
model, including the original data points, manifest percentiles and
specified percentile lines. See <code>plot.cnormBetaBinomial</code>.

Generates continuous test norms in
psychometrics and biometrics, and analyzing model fit. The package offers
both distribution-free modeling using Taylor polynomials and parametric
modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution.
Originally developed for achievement tests, it is applicable to a wide
range of mental, physical, or other test scores dependent on continuous or
discrete explanatory variables. The package provides several advantages:
It minimizes deviations from representativeness in subsamples, interpolates
between discrete levels of explanatory variables, and significantly reduces
the required sample size compared to conventional norming per age group.
cNORM enables graphical and analytical evaluation of model fit,
accommodates a wide range of scales including those with negative and
descending values, and as well supports conventional norming. It generates
norm tables including confidence intervals. Methods for addressing
representativeness issues are available through Iterative Proportional
Fitting. Based on Lenhard et al. (2016)
<doi:10.1177/1073191116656437>, Lenhard et al. (2019)
<doi:10.1371/journal.pone.0222279>, Lenhard and Lenhard (2021)
<doi:10.1177/0013164420928457> and Gary et al. (2023)
<doi:10.1007/s00181-023-02456-0>.

Wolfgang Lenhard

cNORM

Continuous Norming

Alexandra Lenhard

Sebastian Gary

WPS Publisher

plot.cnormBetaBinomial2 function

<dl><dt>x</dt>
<dd>A fitted model object of class "cnormBetaBinomial" or
"cnormBetaBinomial2".</dd>
<dt>...</dt>
<dd>Additional arguments passed to the plot method.<ul>
<li>age A vector of the age data.</li>
<li>score A vector of the score data.</li>
<li>weights An optional numeric vector of weights for each observation.</li>
<li>percentiles An optional vector with the percentiles to plot.</li>
<li>points Logical indicating whether to plot the data points.
 Default is TRUE.</li>
<li>discrete Logical indicating whether to plot the exact discrete
 beta-binomial quantiles (TRUE, default) or a smooth continuous
 approximation via the underlying beta distribution (FALSE).</li>
</ul></dd></dl>

Arguments

Plot cnormBetaBinomial2 Model with Data and Percentile Lines — plot.cnormBetaBinomial2

<dl>

<dt>x</dt>
<dd>A fitted model object of class "cnormBetaBinomial" or
"cnormBetaBinomial2".</dd>


<dt>...</dt>
<dd>Additional arguments passed to the plot method.<ul>
<li>age A vector of the age data.</li>
<li>score A vector of the score data.</li>
<li>weights An optional numeric vector of weights for each observation.</li>
<li>percentiles An optional vector with the percentiles to plot.</li>
<li>points Logical indicating whether to plot the data points.
 Default is TRUE.</li>
<li>discrete Logical indicating whether to plot the exact discrete
 beta-binomial quantiles (TRUE, default) or a smooth continuous
 approximation via the underlying beta distribution (FALSE).</li>
</ul></dd>

</dl>

plot.cnormBetaBinomial2: Plot cnormBetaBinomial2 Model with Data and Percentile Lines

Description

Usage

Value

Arguments

See Also