<div style="font-size:25px;"> <img height="65" width="65" src="likert.png"/> Likert Plot </div>

Welcome to the Likert Scale Visualization App

Summary:

This application named Likert Plot allows you to visualize data on a Likert or ordinal scale by employing horizontal bars for each question or variable, where the bar length for each color/shade corresponds to the frequency of that particular response category. These graphs are commonly used to illustrate survey results or ordinal data. In addition to this tab, the app has 3 tabs which provide instructions on the specifications of the data file (Data Description) and can be used to upload a dataset (Upload Data) to create a plot automatically (Likert Plot).

Disclaimer:

We do not take responsibility for any misuse or misinterpretation of this application or the results produced.

Reference:

Function reference. ggplot2. (n.d.). Retrieved February 7, 2023, from https://ggplot2.tidyverse.org/reference/index.html

Reference. Shiny. (n.d.). Retrieved February 7, 2023, from https://shiny.rstudio.com/reference/shiny/

Description of data

ID Variable:

This variable is the ID of each participant, which will be used as a unique identifier. Each row is one unique participant. An “id” column must be contained in the dataset, and the variable name should be 'id'. Otherwise, the app will not run.

Group Variable:

This variable is a group identifier for the comparison groups. A “group” column must be contained in your uploaded dataset, and the variable name should be 'group'. If there are no comparison groups of interest in your dataset, please create one and assign a single value for all (i.e., everyone in your data set can be “Group A”). When creating your plot in the Likert Plot tab, you will have the option to group or not group the responses.

Likert/Ordinal Scale Variables:

These are the variables that you want to plot. Please make sure that the variables have the same answer categories. For example, in the table below all variables are answered using the 5-point scale (strongly disagree, disagree, neutral, agree, & strongly agree).