summary.likert

object

specifies which level should be treated as the center. For example,
<code>center = 3</code> would use the third level as the center whereas
<code>center = 3.5</code> would indicate no specific level is the center but
<= 3="" are="" low="" levels="" and="">= 4 are high levels (i.e. used for forced choice 
items or those without a neutral option).</=>

center

whether the results should be ordered. Currently unsupported
for grouped analysis.

ordered


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 function

specifies which level should be treated as the center. For example,
<code>center = 3</code> would use the third level as the center whereas
<code>center = 3.5</code> would indicate no specific level is the center but
<= 3 are low levels and >= 4 are high levels (i.e. used for forced choice 
items or those without a neutral option).

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

Description

Usage

Arguments