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...
Enregistré dans:
| Auteur principal: | |
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| 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 |
| Autres localisations: | Voir dans le Sudoc |
| 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 |
| 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 |
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| 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 |

