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2017 Fiscal Year Final Research Report

A Study on the quality control of interviewer-mediated surveys using survey paradata and methods of nonresponse bias adjustment

Research Project

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Project/Area Number 15H03424
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Sociology
Research InstitutionThe Institute of Statistical Mathematics

Principal Investigator

Maeda Tadahiko  統計数理研究所, データ科学研究系, 准教授 (10247257)

Co-Investigator(Kenkyū-buntansha) 松本 渉  関西大学, 総合情報学部, 教授 (10390585)
高田 洋  札幌学院大学, 経済学部, 教授 (30325998)
伏木 忠義  新潟大学, 人文社会・教育科学系, 准教授 (50370094)
Co-Investigator(Renkei-kenkyūsha) KIKKAWA Toru  大阪大学, 人間科学研究科, 教授 (90263194)
Research Collaborator KATO Naoko (NITTA Naoko)  統計数理研究所, データ科学研究系, 特任研究員 (20377120)
Project Period (FY) 2015-04-01 – 2018-03-31
Keywords調査パラデータ / 調査員調査 / 訪問面接法 / 調査モード / 調査不能バイアス / 日本人の国民性調査 / 訪問記録
Outline of Final Research Achievements

This study examined the survey paradata, which mainly means data about the survey process obtained in the administration of surveys, for the purpose of improving the quality of survey operation by using this information. We also discussed the methods for evaluating nonreseponse bias which could be caused by low response rates, and methods for adjusting for the bias. Survey modes included in this study were traditional face-to-face interviewing with paper questionnaire, self-administered questionnaire, telephone interview by RDD, Web surveys and on-site smart-card record of visitor's behavior. By analyzing the visit record in interviewer-mediated surveys and call record of RDD surveys, we can understand the interviewer behavior more precisely and we can make use of these findings in interviewer training. By analyzing paradata such as response time in CAPI survey or Web survey, we can deepen our understandings on the respondent behavior.

Free Research Field

統計科学,社会調査法

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Published: 2019-03-29  

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