IntervalDataOrIntervalList-class

This virtual class is defined as a superclass of
<code>IntervalData</code> and <code>IntervalList</code> classes.

A user-friendly toolbox for doing the statistical analysis of
interval-valued responses in questionnaires measuring intrinsically
imprecise human attributes or features (attitudes, perceptions, opinions,
feelings, etc.). In particular, this package provides S4 classes, methods,
and functions in order to compute basic arithmetic and statistical operations
with interval-valued data; prepare customized plots; associate each
interval-valued response to its equivalent Likert-type and visual analogue
scales answers through the minimum theta-distance and the mid-point criteria;
analyze the reliability of respondents' answers from the internal consistency
point of view by means of Cronbach's alpha coefficient; and simulate
interval-valued responses in this type of questionnaires. The package also
incorporates some real-life data that can be used to illustrate its working
with several non-trivial reproducible examples. The methodology used in this
package is based in many theoretical and applied publications from
SMIRE+CoDiRE (Statistical Methods with Imprecise Random Elements and
Comparison of Distributions of Random Elements) Research Group
(<https://bellman.ciencias.uniovi.es/smire+codire/>)
from the University of Oviedo (Spain).

Jose Garcia Garcia

IntervalQuestionStat

Tools to Deal with Interval-Valued Responses in Questionnaires

José García-García

María Asunción Lubiano

IntervalDataOrIntervalList-class function

José García-García <a href="/link/garciagarjose%40uniovi.es?package=IntervalQuestionStat&version=0.2.0" data-mini-rdoc="IntervalQuestionStat::garciagarjose@uniovi.es">garciagarjose@uniovi.es</a>

Author

Virtual union of IntervalData and IntervalList classes — IntervalDataOrIntervalList-class

José García-García <a href='mailto:garciagarjose@uniovi.es'>garciagarjose@uniovi.es</a>

IntervalDataOrIntervalList-class: Virtual union of `IntervalData` and `IntervalList` classes

Description

Arguments

Author

Details

See Also

Examples