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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Prior Books Ltd, Cheltenham, Reino Unido
Paperback. Condición: 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. Nº de ref. del artículo: 135305
Cantidad disponible: 2 disponibles
Librería: medimops, Berlin, Alemania
Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Nº de ref. del artículo: M01107483735-V
Cantidad disponible: 1 disponibles
Librería: Cherubz Books, York, Reino Unido
Condición: 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. Nº de ref. del artículo: BA-UQUE-VEG3
Cantidad disponible: 1 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 26334383-n
Cantidad disponible: Más de 20 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9781107483736
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 26334383
Cantidad disponible: Más de 20 disponibles
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Paperback. Condición: 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. Nº de ref. del artículo: LU-9781107483736
Cantidad disponible: Más de 20 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781107483736_new
Cantidad disponible: Más de 20 disponibles
Librería: Chiron Media, Wallingford, Reino Unido
paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9781107483736
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 26334383-n
Cantidad disponible: Más de 20 disponibles