predictRaw

Most elementary function to predict raw score based on Location (L, T score),
Age (grouping variable) and the coefficients from a regression model.

A comprehensive toolkit for generating 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 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 even supports conventional norming. It generates
norm tables including confidence intervals. It also includes methods for
addressing representativeness issues through Iterative Proportional Fitting.

Wolfgang Lenhard

cNORM

Continuous Norming

Alexandra Lenhard

Sebastian Gary

WPS publisher 

predictRaw function

<dl><dt>norm</dt>
<dd>The norm score, e. g. a specific T score or a vector of scores</dd>
<dt>age</dt>
<dd>The age value or a vector of scores</dd>
<dt>coefficients</dt>
<dd>The a cnorm object or the coefficients from the regression model</dd>
<dt>minRaw</dt>
<dd>Minimum score for the results; can be used for clipping unrealistic outcomes,
usually set to the lower bound of the range of values of the test (default: 0)</dd>
<dt>maxRaw</dt>
<dd>Maximum score for the results; can be used for clipping unrealistic outcomes
usually set to the upper bound of the range of values of the test</dd></dl>

Arguments

Predict raw values — predictRaw

<dl>

<dt>norm</dt>
<dd>The norm score, e. g. a specific T score or a vector of scores</dd>


<dt>age</dt>
<dd>The age value or a vector of scores</dd>


<dt>coefficients</dt>
<dd>The a cnorm object or the coefficients from the regression model</dd>


<dt>minRaw</dt>
<dd>Minimum score for the results; can be used for clipping unrealistic outcomes,
usually set to the lower bound of the range of values of the test (default: 0)</dd>


<dt>maxRaw</dt>
<dd>Maximum score for the results; can be used for clipping unrealistic outcomes
usually set to the upper bound of the range of values of the test</dd>

</dl>

predictRaw: Predict raw values

Description

Usage

Value

Arguments

See Also

Examples