likert.matrix.plot

results of <code><a rd-options="" href="/link/likert?package=likert&version=1.3.5" data-mini-rdoc="likert::likert">likert</a></code>.

likert

random sample of all rows. This function may take a while
to run with large datasets (including the <code>pisaitems</code> data). Plotting
a random subsample allows for quicker development.

nSample

parameters passed to <code>pairs.ordered.categorical</code>.

An approach to analyzing Likert response items, with an emphasis on visualizations.
The stacked bar plot is the preferred method for presenting Likert results. Tabular results
are also implemented along with density plots to assist researchers in determining whether
Likert responses can be used quantitatively instead of qualitatively. See the likert(),
summary.likert(), and plot.likert() functions to get started.

Jason Bryer

Analysis and Visualization Likert Items

likert.matrix.plot function

results of <code><a rd-options='' href='likert'>likert</a></code>.

likert.matrix.plot: Matrix plot (experimental)

Description

Usage

Arguments