| 000 | 01587camuu2200325 a 4500 | |
| 001 | 000045732894 | |
| 005 | 20121222122501 | |
| 008 | 121221s2011 nju b 001 0 eng | |
| 010 | ▼a 2011002675 | |
| 020 | ▼a 9780691144511 (hardback) | |
| 020 | ▼a 0691144516 (hardback) | |
| 020 | ▼a 9780691144528 (pbk.) | |
| 020 | ▼a 0691144524 (pbk.) | |
| 035 | ▼a (OCoLC)ocn699379048 | |
| 040 | ▼a DLC ▼c DLC ▼d YDX ▼d YDXCP ▼d DLC ▼d 211009 | |
| 042 | ▼a pcc | |
| 050 | 0 0 | ▼a HA31.2 ▼b .M88 2011 |
| 082 | 0 0 | ▼a 001.4/33 ▼2 23 |
| 084 | ▼a 001.433 ▼2 DDCK | |
| 090 | ▼a 001.433 ▼b M993p | |
| 100 | 1 | ▼a Mutz, Diana Carole. |
| 245 | 1 0 | ▼a Population-based survey experiments / ▼c Diana C. Mutz. |
| 260 | ▼a Princeton ; ▼a Oxford : ▼b Princeton University Press, ▼c c2011. | |
| 300 | ▼a xiii, 177 p. ; ▼c 24 cm. | |
| 504 | ▼a Includes bibliographical references (p. [161]-172) and index. | |
| 505 | 0 0 | ▼t Population-based survey experiments : A hybrid methodology for the social sciences -- ▼t Treatments for population-based experimental designs -- ▼t Treatments to improve measurement -- ▼t Direct and indirect treatments -- ▼t Vignette treatments -- ▼t Treatments in the context of games -- ▼t Execution and analysis -- ▼t Execution of population-based survey experiments -- ▼t Analysis of population-based survey experiments -- ▼t Situating population-based survey experiments -- ▼t External validity reconsidered -- ▼t More than just another method. |
| 650 | 0 | ▼a Surveys ▼x Methodology. |
| 650 | 0 | ▼a Social surveys ▼x Methodology. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 001.433 M993p | 등록번호 111683041 (9회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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
정보제공 :
