Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs
Importance-Performance Matrix.
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PDF-2016

Keywords

Importance-performance Analysis series
WC251

Categories

How to Cite

Chaudhary, Anil Kumar, and Laura A. Warner. 2016. “Visually Plotting Importance and Satisfaction to Identify Extension Clients’ Needs: AEC589 WC251, 5 2016”. EDIS 2016 (5). Gainesville, FL:4. https://doi.org/10.32473/edis-wc251-2016.

Abstract

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://doi.org/10.32473/edis-wc251-2016
view on EDIS
PDF-2016

References

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Hugo, N. C., & Lacher, R. G. (2014.) Understanding the role of culture and heritage in community festivals: An importance-performance analysis. Journal of Extension 52(5), Article 5RIB4. Retrieved from http://www.joe.org/joe/2014october/rb4.php.

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https://doi.org/10.2307/1250495

Siniscalchi, J. M., Beale, E. K., & Fortuna, A. (2008.) Using importance-performance analysis to evaluate training. Performance Improvement, 47(10), 30-35. https://doi.org/10.1002/pfi.20037

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