Scale

S3 method for standardizations and transformations of variables

Includes marginal maximum likelihood estimation and joint maximum
likelihood estimation for unidimensional and multidimensional
item response models. The package functionality covers the
Rasch model, 2PL model, 3PL model, generalized partial credit model,
multi-faceted Rasch model, nominal item response model,
structured latent class model, mixture distribution IRT models,
and located latent class models. Latent regression models and
plausible value imputation are also supported. For details see
Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>,
Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>,
Formann, 1982 <doi:10.1002/bimj.4710240209>,
Formann, 1992 <doi:10.1080/01621459.1992.10475229>.

Alexander Robitzsch

Test Analysis Modules

Scale function

<dl> <dt>object</dt>
<dd>An object</dd> <dt>...</dt>
<dd>Further arguments to be passed</dd></dl>

Arguments

S3 Method for Standardizations and Transformations of Variables — Scale

<dl>

 <dt>object</dt>
<dd>An object</dd>

 <dt>...</dt>
<dd>Further arguments to be passed</dd>

</dl>

Scale: S3 Method for Standardizations and Transformations of Variables

Description

Usage

Arguments

See Also