msdf

new_msdf

is.msdf

either a multiple scaled data frame (<code>new_msdf()</code>) or an
arbitrary object to test (<code>is_msdf()</code>).

the method used to produce the multiple scaled data frame
(either <code>disjoint()</code> or <code>overlap()</code>).

method

a numeric constant of length one to specify the marginal
corrected item-total correlation. Its value is in the range of 0-1.

mrit_min

a logical constant indicating whether reversed items are
included in the analysis. The default is set to <code>FALSE</code>.

negative_too

a numeric vector of length two indicating the start- and
endpoint of a scale.

sclvals

<code>new_msdf()</code> creates a multiple scaled data frame
 (<code>msdf</code>).<code>is.msdf()</code> tests if an object is a multiple scaled data
 frame.

An alternative to Exploratory Factor Analysis (EFA) for
metrical data in R. Drawing on characteristics of classical test
theory, Exploratory Likert Scaling (ELiS) supports the user exploring
multiple one-dimensional data structures. In common research practice,
however, EFA remains the go-to method to uncover the (underlying)
structure of a data set. Orthogonal dimensions and the potential of
overextraction are often accepted as side effects. As described in
M<c3><bc>ller-Schneider (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts
these problems. As a result, 'elisr' provides the platform to fully
exploit the exploratory potential of the multiple scaling approach
itself.

msdf: Create and test for a multiple scaled data frame

Description

Usage

Arguments

Value

Details