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Aggiungi al carrelloCondizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of wear but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data.Applying the Rubin's Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences.Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Lingua: Inglese
Editore: SAGE Publications Ltd, London, 2022
ISBN 10: 1526424738 ISBN 13: 9781526424730
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data.Applying the Rubin's Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences.Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey. A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
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Aggiungi al carrelloCondizione: New. 2022. 1st Edition. Paperback. . . . . .
Lingua: Inglese
Editore: SAGE Publications Ltd 2022-04-09, 2022
ISBN 10: 1526424738 ISBN 13: 9781526424730
Da: Chiron Media, Wallingford, Regno Unito
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Da: California Books, Miami, FL, U.S.A.
EUR 80,90
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 87,03
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Da: UK BOOKS STORE, London, LONDO, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 84,25
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Sage Publications|SAGE Publications Ltd, 2022
ISBN 10: 1526424738 ISBN 13: 9781526424730
Da: moluna, Greven, Germania
EUR 50,50
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Aggiungi al carrelloCondizione: New. A practical, up-to-date, step-by-step guidance on causal analysis which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analy.
Da: preigu, Osnabrück, Germania
EUR 36,55
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Statistical Approaches to Causal Analysis | Matthew McBee | Taschenbuch | The SAGE Quantitative Research Kit | Kartoniert / Broschiert | Englisch | 2022 | SAGE Publications Ltd | EAN 9781526424730 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 105,19
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Aggiungi al carrelloPaperback. Condizione: Brand New. 160 pages. 9.53x6.69x0.60 inches. In Stock.
Lingua: Inglese
Editore: SAGE Publications Ltd, London, 2022
ISBN 10: 1526424738 ISBN 13: 9781526424730
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 84,15
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data.Applying the Rubin's Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences.Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey. A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 101,10
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Da: Rarewaves.com UK, London, Regno Unito
EUR 48,57
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data.Applying the Rubin's Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences.Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Da: Revaluation Books, Exeter, Regno Unito
EUR 51,87
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Aggiungi al carrelloPaperback. Condizione: Brand New. 160 pages. 9.53x6.69x0.60 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: SAGE Publications Ltd Mrz 2022, 2022
ISBN 10: 1526424738 ISBN 13: 9781526424730
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,70
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey. 266 pp. Englisch.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 56,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 45,44
Quantità: 3 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.