Population-based survey experiments have become an invaluable tool for social scientists struggling to generalize laboratory-based results, and for survey researchers besieged by uncertainties about causality. Thanks to technological advances in recent years, experiments can now be administered to random samples of the population to which a theory applies. Yet until now, there was no self-contained resource for social scientists seeking a concise and accessible overview of this methodology, its strengths and weaknesses, and the unique challenges it poses for implementation and analysis.
Drawing on examples from across the social sciences, this book covers everything you need to know to plan, implement, and analyze the results of population-based survey experiments. But it is more than just a "how to" manual. This lively book challenges conventional wisdom about internal and external validity, showing why strong causal claims need not come at the expense of external validity, and how it is now possible to execute experiments remotely using large-scale population samples.
Designed for social scientists across the disciplines, Population-Based Survey Experiments provides the first complete introduction to this methodology.
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Descrizione libro Condizione: New. 2011. Paperback. Drawing on examples from across the social sciences, this book offers the information you need to know to plan, implement, and analyze the results of population-based survey experiments. Suitable for social scientists across the disciplines, it reexamines issues of internal and external validity. Num Pages: 200 pages, 5 tables. BIC Classification: JHBC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 156 x 15. Weight in Grams: 324. . . . . . Codice articolo V9780691144528
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