likert.matrix.plot

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

likert

Analysis and Visualization Likert Items

Kimberly Speerschneider

likert.matrix.plot function

<dl><dt>likert</dt>
<dd>results of <code>likert</code>.</dd>
<dt>nSample</dt>
<dd>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.</dd>
<dt>...</dt>
<dd>parameters passed to <code>pairs.ordered.categorical</code>.</dd></dl>

Arguments

Matrix plot (experimental) — likert.matrix.plot

<dl>

<dt>likert</dt>
<dd>results of <code>likert</code>.</dd>


<dt>nSample</dt>
<dd>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.</dd>


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

</dl>

likert.matrix.plot: Matrix plot (experimental)

Description

Usage

Arguments