Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Jason Seawright is an Associate Professor in the Department of Political Science at Northwestern University. He has written extensively about multi-method research and has published in journals including Political Analysis, Political Research Quarterly, Sociological Methodology, and Sociological Methods and Research. He was the author or co-author of several chapters in Rethinking Social Inquiry: Diverse Tools, Shared Standards, edited by Henry E. Brady and David Collier. He has taught courses on multi-method research design at institutes worldwide.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Paperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur GOR009901879
Quantité disponible : 1 disponible(s)
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Etat : Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good. N° de réf. du vendeur 57419772-6
Quantité disponible : 1 disponible(s)
Vendeur : Prior Books Ltd, Cheltenham, Royaume-Uni
Paperback. Etat : Like New. First Edition. A nearly new copy with no defects, just a few hardly noticeable rubs, hence the publisher's 'damaged' stamp to one of the preliminary pages. Despite such this book looks and feels unread with contents that are crisp, fresh and tight. Thus a very nice book in great condition, now offered for sale at a reasonable price. N° de réf. du vendeur 135305
Quantité disponible : 2 disponible(s)
Vendeur : Cherubz Books, York, Royaume-Uni
Etat : As New. Same day dispatch. New copy with a damaged stamp to the title page. A publishers overstock which is in like new condition except for the aforementioned 5cm stamp. N° de réf. du vendeur BA-UQUE-VEG3
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 26334383-n
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation. Reflecting the rising popularity of research that combines qualitative and quantitative social science, this book provides the first systematic guide to designing multi-method research. It considers a wide range of statistical and qualitative tools, and develops over a dozen multi-method designs to test key assumptions about social science causation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781107483736
Quantité disponible : 1 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9781107483736
Quantité disponible : Plus de 20 disponibles
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation. N° de réf. du vendeur LU-9781107483736
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 26334383
Quantité disponible : Plus de 20 disponibles
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 242 pages. 9.50x6.75x0.50 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __1107483735
Quantité disponible : 1 disponible(s)