Electoral survey methodology : insight from Japan on using computer assisted personal interviews
著者
書誌事項
Electoral survey methodology : insight from Japan on using computer assisted personal interviews
（Routledge-WIAS interdisciplinary studies / edited by Hideaki Miyajima and Masao Suzuki, 3）
Routledge, 2018, 2016
- : pbk
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注記
"First published 2016. First issued in paperback 2018" -- T.p. verso
Includes bibliographical references (p. [127]-132) and index
内容説明・目次
内容説明
While it has been some time since computer technologies were first introduced to social surveys, their methodological advantages, as well as potential limitations, are not yet fully appreciated by the relevant communities of scholars, mass media and governmental organizations. What can computer-assisted surveys do which ordinary paper and pencil interviews (PAPI) can never do? How does the usage of computer technology affect the quality of survey process and of collected data? More generally, what are the issues pertinent to the methodology of public opinion inquiry that are now revealed by the availability of computer-assisted surveying technique?
The book seeks to address these questions systematically, with each individual chapter providing a well-focused analysis and ample evidence from Japan. As the computer-assisted survey is bound to be more dominant in the coming years, this book provides an important foundation for future academic studies as well as their practical applications in the field.
目次
Preface, Aiji Tanaka 1. Introduction, Masaru Kohno and Yoshitaka Nashizawa 2. Survey Modes and Data Quality, Tetsuya Matsubayashi 3. No-Opinion Options and Survey Responses, Tetsuya Matsubayashi 4. Have You Really Not Participated? Social Desirability Bias in the Opposite Direction, Yoshitaka Nishizawa and Koichi Kuriyama 5. Examining Response Order Effects through the Computer Randomization, Ryosuke Imai and Airo Hino 6. What Can We Learn from "Response Time"?, Kiichiro Arai and Norihiro Mimura 7. Public Goods Provision Experiment with CASI Survey, Kazumi Shimizu, Yuko Morimoto, Motoki Watabe, Takeshi Iida and Koichi Kuriyama
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