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Effect : an introduction to research design and causality Nick Huntington-Klein.

By: Publication details: Boca Raton: CRC Press, 2022.Description: xxvi, 619 pages : illustrations ; 27 cmISBN:
  • 9781032125787
Subject(s): Additional physical formats: Online version:: EffectDDC classification:
  • 530.01 H92E 23
LOC classification:
  • QC6.4.C3 H86 2022
Summary: "The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we "add a control variable" what does that actually do?"--
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode
Books Books Central Library, IISER Bhopal Reference Section Reference 530.01 H92E (Browse shelf(Opens below)) Not For Loan Reserve 11198
Browsing Central Library, IISER Bhopal shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
530 T499P6 Physics for scientists and engineers: 530 T499P6 Physics for scientists and engineers: 530 W152F8 Fundamentals of physics 530.01 H92E Effect : 530.0285 F43 Feynman and computation : 530.092 C144 The Cambridge companion to Einstein 530.092 C334L Ludwig Boltzmann :

"A Chapman & Hall book."

Includes bibliographical references (pages [601]-615) and index.

"The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we "add a control variable" what does that actually do?"--

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