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...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
---|---|
VerfasserIn: | |
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. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 06762nam a22013935i 4500 | ||
---|---|---|---|
001 | 9781400840489 | ||
003 | DE-B1597 | ||
005 | 20210729020517.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr || |||||||| | ||
008 | 210729t20112011nju fo d z eng d | ||
020 | |a 9781400840489 | ||
024 | 7 | |a 10.1515/9781400840489 |2 doi | |
035 | |a (DE-B1597)453776 | ||
035 | |a (OCoLC)979745750 | ||
040 | |a DE-B1597 |b eng |c DE-B1597 |e rda | ||
041 | 0 | |a eng | |
044 | |a nju |c US-NJ | ||
050 | 4 | |a HA31.2 |b .M88 2017 | |
072 | 7 | |a SOC027000 |2 bisacsh | |
082 | 0 | 4 | |a 001.433 |2 23 |
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 | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
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. | ||
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t Princeton University Press eBook-Package Backlist 2000-2013 |z 9783110442502 |
776 | 0 | |c print |z 9780691144528 | |
856 | 4 | 0 | |u https://doi.org/10.1515/9781400840489?locatt=mode:legacy |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781400840489 |
856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/cover/covers/9781400840489.jpg |
912 | |a 978-3-11-044250-2 Princeton University Press eBook-Package Backlist 2000-2013 |c 2000 |d 2013 | ||
912 | |a EBA_BACKALL | ||
912 | |a EBA_CL_SN | ||
912 | |a EBA_EBACKALL | ||
912 | |a EBA_EBKALL | ||
912 | |a EBA_ECL_SN | ||
912 | |a EBA_EEBKALL | ||
912 | |a EBA_ESSHALL | ||
912 | |a EBA_PPALL | ||
912 | |a EBA_SSHALL | ||
912 | |a EBA_STMALL | ||
912 | |a GBV-deGruyter-alles | ||
912 | |a PDA11SSHE | ||
912 | |a PDA12STME | ||
912 | |a PDA13ENGE | ||
912 | |a PDA17SSHEE | ||
912 | |a PDA5EBK |