Population-Based Survey Experiments / / Diana C. Mutz.

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 r...

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Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
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Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2011]
©2011
Year of Publication:2011
Edition:Course Book
Language:English
Online Access:
Physical Description:1 online resource (200 p.) :; 5 tables.
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100 1 |a Mutz, Diana C.,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Population-Based Survey Experiments /  |c Diana C. Mutz. 
250 |a Course Book 
264 1 |a Princeton, NJ :   |b Princeton University Press,   |c [2011] 
264 4 |c ©2011 
300 |a 1 online resource (200 p.) :  |b 5 tables. 
336 |a text  |b txt  |2 rdacontent 
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505 0 0 |t Frontmatter --   |t Contents --   |t List of Tables --   |t Preface --   |t Chapter One. Population-Based Survey Experiments A Hybrid. Methodology for the Social Sciences --   |t PART I. Treatments for Population-Based Experimental Designs --   |t Chapter Two. Treatments to Improve Measurement --   |t Chapter Three. Direct and Indirect Treatments --   |t Chapter Four. Vignette Treatments --   |t Chapter Five. Treatments in the Context of Games --   |t PART II. Executions and Analysis --   |t Chapter Six. Execution of Population-Based Survey Experiments --   |t Chapter Seven. Analysis of Population-Based Survey Experiments --   |t PART III. Situating Population-Based Survey Experiments --   |t Chapter Eight. External Validity Reconsidered --   |t Chapter Nine. More Than Just Another Method --   |t Bibliography --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a 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. Offers the most comprehensive treatment of the subject Features a wealth of examples and practical advice Reexamines issues of internal and external validity Can be used in conjunction with downloadable data from ExperimentCentral.org for design and analysis exercises in the classroom 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Jul 2021) 
650 0 |a Social surveys  |x Methodology. 
650 7 |a SOCIAL SCIENCE / Statistics.  |2 bisacsh 
653 |a Institutional Review Board. 
653 |a Internet. 
653 |a analysis stage. 
653 |a anchoring. 
653 |a card sort techniques. 
653 |a cause. 
653 |a complex theories. 
653 |a covariates. 
653 |a direct treatment. 
653 |a direct treatments. 
653 |a economic games. 
653 |a effect. 
653 |a ethics. 
653 |a experimentalists. 
653 |a external validity. 
653 |a factorial designs. 
653 |a false feedback. 
653 |a game-based treatments. 
653 |a gaming. 
653 |a generalizability. 
653 |a human subjects. 
653 |a hybrid methodology. 
653 |a hypotheses. 
653 |a hypothetical people. 
653 |a independent variable. 
653 |a indirect treatments. 
653 |a inferential process. 
653 |a internal validity. 
653 |a item count technique. 
653 |a measurement. 
653 |a observational methods. 
653 |a observational studies. 
653 |a online experiments. 
653 |a particularistic research. 
653 |a population average. 
653 |a population-based experiment. 
653 |a population-based experiments. 
653 |a population-based survey experiments. 
653 |a population-based survey. 
653 |a random population samples. 
653 |a random samples. 
653 |a randomization checks. 
653 |a real world settings. 
653 |a realism. 
653 |a research design. 
653 |a research. 
653 |a researchers. 
653 |a social science laboratories. 
653 |a social science theories. 
653 |a split-ballot approach. 
653 |a survey experiments. 
653 |a survey weights. 
653 |a surveys. 
653 |a traditional experiments. 
653 |a traditional surveys. 
653 |a vignette treatments. 
653 |a war stories. 
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