Thinking clearly with data : a guide to quantitative reasoning and analysis / Ethan Bueno de Mesquita, Anthony Fowler

By: Contributor(s): Language: English Publication details: Princeton, NJ : Princeton University Press, 2021Description: xxi, 377 pages : illustrations (black and white) ; 26 cmISBN:
  • 9780691214368
  • 0691214360
  • 9780691214351
  • 0691214352
Subject(s): Summary: "This is an intro-level text that teaches how to think clearly and conceptually about quantitative information, emphasizing ideas over technicality and assuming no prior exposure to data analysis, statistics, or quantitative methods. The books four parts present the foundation for quantiative reasoning: correlation and causation; statistical relationships; causal phenomena; and incorporating quantitative information into decision making. Within these parts it covers the array of tools used by social scientists, including regression, inference, experiments, research design, and more, all by explaining the rationale and logic behind such tools rather than focusing only on the technical calculations used for each. New concepts are presented simply, with the help of copious examples, and the books leans towards graphic rather than mathematical representation of data, with any technical material included in appendices"--
Item type: monograph
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Holdings
Current library Call number Status Date due Barcode
SIPRI Library and Documentation 31 Bueno de Mesquita Available 21/131

SIP2201

Includes bibliographical references and index.

"This is an intro-level text that teaches how to think clearly and conceptually about quantitative information, emphasizing ideas over technicality and assuming no prior exposure to data analysis, statistics, or quantitative methods. The books four parts present the foundation for quantiative reasoning: correlation and causation; statistical relationships; causal phenomena; and incorporating quantitative information into decision making. Within these parts it covers the array of tools used by social scientists, including regression, inference, experiments, research design, and more, all by explaining the rationale and logic behind such tools rather than focusing only on the technical calculations used for each. New concepts are presented simply, with the help of copious examples, and the books leans towards graphic rather than mathematical representation of data, with any technical material included in appendices"--

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