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Measurement dysfunction describes a situation or behavior where actual data metrics, statistics and especially their meaning (or communicated meaning), can become problematic due to misuse.[1][2][3] Specifically, in areas such as Human Resources (Performance measurements[4]), Technology (Safety[5]), Finance or Health,[5] measurement dysfunctionality are critical, as it can lead to negative outcomes, wrong predictions or forecasts.
Practices to avoid:[6][3]
Reward of wrong behavior (also persons who manipulate[7])
Measuring the wrong things[8]
Measuring either not enough or too much
Cheating or data manipulation (intentional or unintentional due to wrong calculation models, systematic errors, human errors, etc.)
On eliminating dysfunctional measurement:[9]
Establish, and monitor the move to and adherence to ‘policies’ for good, functional measurement
Support technical correctness
Periodically evaluate the information need and value delivered by measurements
^"Presentations and Papers". www.osel.co.uk. Retrieved 2021-02-22.
^Austin, Robert D. (1996). Measuring and managing performance in organizations. Tom DeMarco, Timothy R. Lister. New York: Dorset House Publishing. ISBN 0-932633-36-6. OCLC 34798037.
^"Measurement Madness: Recognizing and Avoiding the Pitfalls of Performance Measurement | Wiley". Wiley.com. Retrieved 2021-02-22.
^ abVincent, Charles, Dr (2013). The measurement and monitoring of safety : drawing together academic evidence and practical experience to produce a framework for safety measurement and monitoring. Susan Burnett, Jane Carthey. London. ISBN 978-1-906461-44-7. OCLC 861644942.{{cite book}}: CS1 maint: location missing publisher (link) CS1 maint: multiple names: authors list (link)
^"How to Spot and Stop Manipulators". Psychology Today. Retrieved 2021-02-22.
^Leonelli, Sabina (2020), "Scientific Research and Big Data", in Zalta, Edward N. (ed.), The Stanford Encyclopedia of Philosophy (Summer 2020 ed.), Metaphysics Research Lab, Stanford University, retrieved 2021-02-22
^Shelley, C. C. (October 2009). "eXtreme Measurement: recognizing, understanding and avoiding measurement dysfunction" (PDF). www.osel.co.uk. Oxford Software Engineering. Retrieved 2021-02-22.{{cite web}}: CS1 maint: date and year (link)
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