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...
Spremljeno u:
| Glavni autor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
London ; Thousand Oaks, California :
SAGE Publications Ltd
2022.
Paris : Cyberlibris |
| Teme: | |
| Online pristup: | Accès Université d'Orléans et IFPM |
| Bilješka: |
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 |
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|---|---|---|---|
| 001 | 1086093 | ||
| 008 | 230915s2022 xxg ||| |||| 00| 0 eng d | ||
| 009 | PPN272011630 | ||
| 020 | |a 9781529711127 | ||
| 041 | 0 | |a eng | |
| 082 | |a 300.72/7 | ||
| 100 | 1 | |a McBee, Matthew. | |
| 245 | 1 | 0 | |a Statistical approaches to causal analysis |c Matthew McBee. |
| 260 | |a London ; |a Thousand Oaks, California : |b SAGE Publications Ltd. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2022. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781529711127.jpg | ||
| 500 | |a Cyberlibris (Scholarvox) Corpus Psychologie Sociologie | ||
| 504 | |a Bibliogr. p. [217]-228. Index | ||
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a 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 | ||
| 650 | |a Causalité |x Méthodes statistiques | ||
| 650 | |a Recherche quantitative | ||
| 776 | 0 | |0 270296379 |t Statistical approaches to causal analysis |f Matthew McBee |d 2021 |c London |n SAGE Publications Ltd |p 1 vol. (xxi-234 p.) |s The SAGE quantitative research kit |z 1-5264-2473-8 | |
| 856 | 4 | |5 452349901:797901108 |u https://ezproxy.univ-orleans.fr/login?qurl=https://univ.scholarvox.com/book/88942807 |z Accès Université d'Orléans et IFPM | |
| 997 | |0 1086093 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||