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

Por: Idioma: Inglés Editor: Boca Raton : CRC Press, Taylor & Francis Group, 2022Descripción: xxvi, 619 pages : illustrations (black and white) ; 27 cmTipo de contenido:
  • texto
Tipo de medio:
  • no mediado
Tipo de soporte:
  • volumen
ISBN:
  • 978-1-032-12578-7
Tema(s): Clasificación CDD:
  • 530.01 H89e
Recursos en línea: Resumen: "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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Tipo de ítem Biblioteca actual Colección Signatura Estado Fecha de vencimiento Código de barras Reserva de ítems
Libro Libro Sede Quito Primer piso Col General 530.01 H89e (Navegar estantería(Abre debajo)) Disponible PUCE213306
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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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