rescale

Psychologists frequently report data in terms of transformed scales such as ``IQ" (mean=100, sd=15, ``SAT/GRE" (mean=500, sd=100), ``ACT" (mean=18, sd=6), ``T-scores" (mean=50, sd=10), or ``Stanines" (mean=5, sd=2). The <code>rescale</code> function converts the data to standard scores and then rescales to the specified mean(s) and standard deviation(s).

univar

 multivariate

 models

A general purpose toolbox developed originally for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Validation and cross validation of scales developed using basic machine learning algorithms are provided, as are functions for simulating and testing particular item and test structures. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, including mediation models, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r/> web page.

William Revelle

psych

Procedures for Psychological, Psychometric, and Personality
Research

rescale function

<dl> <dt>x</dt>
<dd>A matrix or data frame</dd> <dt>mean</dt>
<dd>Desired mean of the rescaled scores- may be a vector</dd> <dt>sd</dt>
<dd>Desired standard deviation of the rescaled scores</dd> <dt>df</dt>
<dd>if TRUE, returns a data frame, otherwise a matrix</dd></dl>

Arguments

Author

Function to convert scores to ``conventional
" metrics — rescale

<dl>

 <dt>x</dt>
<dd>A matrix or data frame</dd>

 <dt>mean</dt>
<dd>Desired mean of the rescaled scores- may be a vector</dd>

 <dt>sd</dt>
<dd>Desired standard deviation of the rescaled scores</dd>

 <dt>df</dt>
<dd>if TRUE, returns a data frame, otherwise a matrix</dd>

</dl>

rescale: Function to convert scores to ``conventional " metrics

Description

Usage

Value

Arguments

Author

See Also

Examples