Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs

This is the second document in the Importance-performance Analysis series, a series of three about using importance-performance analysis (IPA) to prioritize Extension resources. This 4-page article covers how to collect data and use them to generate visual plots. IPA data plots are attractive and e...

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Main Authors: Anil Kumar Chaudhary, Laura A. Warner
Format: Article
Language:English
Published: The University of Florida George A. Smathers Libraries 2016-07-01
Series:EDIS
Subjects:
Online Access:https://journals.flvc.org/edis/article/view/127862
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author Anil Kumar Chaudhary
Laura A. Warner
author_facet Anil Kumar Chaudhary
Laura A. Warner
author_sort Anil Kumar Chaudhary
collection DOAJ
description This is the second document in the Importance-performance Analysis series, a series of three about using importance-performance analysis (IPA) to prioritize Extension resources. This 4-page article covers how to collect data and use them to generate visual plots. IPA data plots are attractive and easy-to-understand visual maps that display importance and satisfaction scores for certain attributes. Written by Anil Kumar Chaudhary and Laura A. Warner, and published by the Department of Agricultural Education and Communication, May 2016. AEC589/WC251: Visually Plotting Importance and Satisfaction to Identify Extension Clients' Needs (ufl.edu)
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spelling doaj.art-83e4bf1c7fa94f399d997c7bf19a5cf62025-03-08T05:54:26ZengThe University of Florida George A. Smathers LibrariesEDIS2576-00092016-07-0120165Visually Plotting Importance and Satisfaction to Identify Extension Clients’ NeedsAnil Kumar Chaudhary0https://orcid.org/0000-0001-5809-8854Laura A. Warner1https://orcid.org/0000-0003-2784-6666University of FloridaUniversity of Florida This is the second document in the Importance-performance Analysis series, a series of three about using importance-performance analysis (IPA) to prioritize Extension resources. This 4-page article covers how to collect data and use them to generate visual plots. IPA data plots are attractive and easy-to-understand visual maps that display importance and satisfaction scores for certain attributes. Written by Anil Kumar Chaudhary and Laura A. Warner, and published by the Department of Agricultural Education and Communication, May 2016. AEC589/WC251: Visually Plotting Importance and Satisfaction to Identify Extension Clients' Needs (ufl.edu) https://journals.flvc.org/edis/article/view/127862Importance-performance Analysis seriesWC251
spellingShingle Anil Kumar Chaudhary
Laura A. Warner
Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
EDIS
Importance-performance Analysis series
WC251
title Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
title_full Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
title_fullStr Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
title_full_unstemmed Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
title_short Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
title_sort visually plotting importance and satisfaction to identify extension clients needs
topic Importance-performance Analysis series
WC251
url https://journals.flvc.org/edis/article/view/127862
work_keys_str_mv AT anilkumarchaudhary visuallyplottingimportanceandsatisfactiontoidentifyextensionclientsneeds
AT lauraawarner visuallyplottingimportanceandsatisfactiontoidentifyextensionclientsneeds