summary.likert.gap

object

parameters passed to <code><a rd-options="" href="/link/summary.likert?package=likert&version=1.3.5" data-mini-rdoc="likert::summary.likert">summary.likert</a></code>


The <code>summary</code> function returns a data frame that provides additional 
information. It contains 'Item' and 'Group' columns similiar to the results data
frame as well as a column 'low' corresponding to the sum of levels below
neutral, a column 'high' corresponding to the sum of levels above
neutral, and columns 'mean' and 'sd' corresponding to the mean and
standard deviation, respectively, of the results. The numeric values
are determined by as.numeric which will use the values of the factors.


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

summary.likert.gap function

parameters passed to <code><a rd-options='' href='summary.likert'>summary.likert</a></code>

summary.likert.gap: Prints summary table of a Likert analysis.

Description

Usage

Arguments

Value