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024 7 $a10.1007/978-3-030-99472-3
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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMore Judgment Than Data $eData Literacy and Decision-Making /$fby Michael Jones
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Palgrave Macmillan,$d2022.
215   $a1 online resource (161 pages)
311 08$aPrint version: Jones, Michael More Judgment Than Data Cham : Springer International Publishing AG,c2022 9783030994716 
320   $aIncludes bibliographical references and index.
327   $aChapter 1: Introduction -- Chapter 2: Know Your Limits -- Chapter 3: See the Unseen -- Chapter 4: Unintended Consequences -- Chapter 5: When More is Better -- Chapter 6: Everything has a Price -- Chapter 7: Map the Environment -- Chapter 8: Establish a theory -- Chapter 9: Conclusion.
330   $aMore data has been produced in the 21st century than all of human history combined. Yet, are we making better decisions than yesterday?s generation? Do we believe that poor decisions tend to result from the absence of data? The existence of an overwhelming amount of data has affected how we make decisions, but it has not necessarily improved how we make decisions. To make better decisions, people need good judgment based on data literacy--the ability to extract meaning from data. This book opens with cautionary tales of what can happen when too much attention is spent on acquiring more data instead of understanding how to best use the existing data. Including data in the decision-making process can bring considerable clarity in answering our questions. Nevertheless, the book explores many examples in business and politics in which too much data resulted in bad decisions. Human beings can become distracted, overwhelmed, and even confused. Data is not generated in a vacuum. The book?s primary thesis is that people who possess data literacy will understand the environment and incentives behind the data. With this understanding in place, good decisions will follow. More Judgment Than Data introduces the principles of data literacy. Readers will learn what questions to ask, what data to pay attention to, and what pitfalls to avoid. As an application, a chapter expounds upon these data literacy principles in a COVID-19 era. Readers will not only learn how to make better decisions, they will become less vulnerable to others who manipulate data for misleading purposes.
606   $aEconometrics
606   $aBig data
606   $aSampling (Statistics)
606   $aQuantitative research
606   $aQuantitative Economics
606   $aBig Data
606   $aMethodology of Data Collection and Processing
606   $aData Analysis and Big Data
615  0$aEconometrics.
615  0$aBig data.
615  0$aSampling (Statistics)
615  0$aQuantitative research.
615 14$aQuantitative Economics.
615 24$aBig Data.
615 24$aMethodology of Data Collection and Processing.
615 24$aData Analysis and Big Data.
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700   $aJones$b Michael$076135
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996   $aMore Judgment Than Data$92908335
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