Statistical approaches to causal analysis

A practical, up-to-date, step-by-step and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involve in carrying out various types of statistical causal analysis. Matthew McBee evaluates the issue of causa...

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Détails bibliographiques
Auteur principal: McBee, Matthew
Format: Livre numérique
Langue:Anglais
Publié: London ; Thousand Oaks, California : SAGE Publications Ltd 2022.
Paris : Cyberlibris
Sujets:
Accès en ligne:Accès Université d'Orléans et IFPM
Note: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781529711127.jpg
Cyberlibris (Scholarvox) Corpus Psychologie Sociologie
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Edition sous un autre format:• Statistical approaches to causal analysis, Matthew McBee, 2021, London, SAGE Publications Ltd, 1 vol. (xxi-234 p.), The SAGE quantitative research kit, 1-5264-2473-8
Description
Résumé:A practical, up-to-date, step-by-step and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involve in carrying out various types of statistical causal analysis. Matthew McBee evaluates the issue of causal inference in quantitative research, while providing guidance on how to apply these analyses to data, discussing key concepts such as: directed acyclic graphs (DAGs), Rubin's Causal Model (RCM), Propensity Score Analysis, and Regression Discontinuity Design
Description:Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781529711127.jpg
Cyberlibris (Scholarvox) Corpus Psychologie Sociologie
Bibliographie:Bibliogr. p. [217]-228. Index
ISBN:9781529711127
Accès:L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris