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The effect : an introduction to research design and causality / Nick Huntington-Klein.

By: Material type: TextTextLanguage: English Publication details: Boca Raton : CRC Press, Taylor & Francis Group, 2022.Description: xxvi, 619 p. : ill. ; 27 cmISBN:
  • 9781032125787
Subject(s): DDC classification:
  • 530.01 23/eng/20210927
LOC classification:
  • QC6.4 .C3H86 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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Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode
Books Books North South University Library Non-fiction General Stacks QC6.4.C3H86 2022 (Browse shelf(Opens below)) 1 Available 49068
Books Books North South University Library Non-fiction General Stacks QC6.4.C3H86 2022 (Browse shelf(Opens below)) 2 Available 49069

"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?"--

Mathematics, Physics and Statistics

Sumaiya Kainat Bintey Kohinoor

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