利用GPS-Paradata控制数据采集过程:现有方法综述及GPS-Paradata质量分析

Q3 Social Sciences Sotsiologicheskiy Zhurnal Pub Date : 2022-12-28 DOI:10.19181/socjour.2022.28.4.9313
D. Lebedev
{"title":"利用GPS-Paradata控制数据采集过程:现有方法综述及GPS-Paradata质量分析","authors":"D. Lebedev","doi":"10.19181/socjour.2022.28.4.9313","DOIUrl":null,"url":null,"abstract":"The use of face-to-face interviews is still a very common data collection method in social sciences. The danger associated with the use of such data collection methods is a reduction in the resulting survey data’s quality due to interviewers’ fabrications or falsifications, which in turn has led to the emergence of a large set of methods for controlling the data collection process, the focus of which is limited and bypasses the behavioral characteristics of interviewers. In this context, paradata and GPS-paradata are an important new tool for use in the process of quality control of collected data or as part of a methodological audit, allowing not only to potentially identify and prevent falsification or fabrication by interviewers, but also to assess the correctness of methodological instructions. This article provides an overview of the available and practiced methods for using GPS-paradata in two main strategies (data point analysis and interviewer path analysis): geofencing, strand length, curbstoning, connecting interviews’ locations and interviewer path analysis. The possibilities of using such control methods depend on the sample design and on the methodological features of the surveys in general. However, the use of GPS-paradata to control the data collection process is not in itself a surefire method for detecting interviewers’ fabrications or falsifications, as it may be subject to technical inaccuracies or unintentional interviewer errors. It is a useful additional method aimed at identifying “suspicious” interviews which require the use of more resource-intensive methods of control (for example, repeated contact). In addition, the article presents an analysis of the quality of acquired GPS-paradata on the example of 26th wave of the RLMS-HSE, based on analyzing missing data and quality of measurements (HDOP). The results show that the quality of GPS-paradata can be related both to the region where the interview is conducted and to the characteristics of the interviewers.","PeriodicalId":35261,"journal":{"name":"Sotsiologicheskiy Zhurnal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using GPS-Paradata to Control the Data Collection Process: Review of Existing Methods and Analysis of GPS-Paradata Quality\",\"authors\":\"D. Lebedev\",\"doi\":\"10.19181/socjour.2022.28.4.9313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of face-to-face interviews is still a very common data collection method in social sciences. The danger associated with the use of such data collection methods is a reduction in the resulting survey data’s quality due to interviewers’ fabrications or falsifications, which in turn has led to the emergence of a large set of methods for controlling the data collection process, the focus of which is limited and bypasses the behavioral characteristics of interviewers. In this context, paradata and GPS-paradata are an important new tool for use in the process of quality control of collected data or as part of a methodological audit, allowing not only to potentially identify and prevent falsification or fabrication by interviewers, but also to assess the correctness of methodological instructions. This article provides an overview of the available and practiced methods for using GPS-paradata in two main strategies (data point analysis and interviewer path analysis): geofencing, strand length, curbstoning, connecting interviews’ locations and interviewer path analysis. The possibilities of using such control methods depend on the sample design and on the methodological features of the surveys in general. However, the use of GPS-paradata to control the data collection process is not in itself a surefire method for detecting interviewers’ fabrications or falsifications, as it may be subject to technical inaccuracies or unintentional interviewer errors. It is a useful additional method aimed at identifying “suspicious” interviews which require the use of more resource-intensive methods of control (for example, repeated contact). In addition, the article presents an analysis of the quality of acquired GPS-paradata on the example of 26th wave of the RLMS-HSE, based on analyzing missing data and quality of measurements (HDOP). The results show that the quality of GPS-paradata can be related both to the region where the interview is conducted and to the characteristics of the interviewers.\",\"PeriodicalId\":35261,\"journal\":{\"name\":\"Sotsiologicheskiy Zhurnal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sotsiologicheskiy Zhurnal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.19181/socjour.2022.28.4.9313\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sotsiologicheskiy Zhurnal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19181/socjour.2022.28.4.9313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

面对面访谈的使用在社会科学中仍然是一种非常常见的数据收集方法。使用此类数据收集方法的危险在于,由于访谈者的捏造或伪造,导致调查数据的质量下降,这反过来又导致出现了一整套控制数据收集过程的方法,这些方法的重点是有限的,并绕过了访谈者的行为特征。在这方面,paradata和GPS paradata是一种重要的新工具,可用于收集数据的质量控制过程或作为方法审计的一部分,不仅可以潜在地识别和防止访谈者的伪造或捏造,还可以评估方法说明的正确性。本文概述了在两种主要策略(数据点分析和面试官路径分析)中使用GPS paradata的可用和实践方法:地理围栏、路段长度、路边石、连接面试地点和面试官的路径分析。使用这种控制方法的可能性取决于样本设计和总体调查的方法特点。然而,使用全球定位系统准数据来控制数据收集过程本身并不是检测面试官捏造或伪造的万无一失的方法,因为它可能会出现技术上的不准确或面试官无意中的错误。这是一种有用的额外方法,旨在识别需要使用资源密集型控制方法(例如,重复接触)的“可疑”面谈。此外,本文在分析缺失数据和测量质量(HDOP)的基础上,以RLMS-HSE的第26波为例,对获取的GPS准数据的质量进行了分析。结果表明,GPS准数据的质量既与面试地点有关,也与面试者的特点有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Using GPS-Paradata to Control the Data Collection Process: Review of Existing Methods and Analysis of GPS-Paradata Quality
The use of face-to-face interviews is still a very common data collection method in social sciences. The danger associated with the use of such data collection methods is a reduction in the resulting survey data’s quality due to interviewers’ fabrications or falsifications, which in turn has led to the emergence of a large set of methods for controlling the data collection process, the focus of which is limited and bypasses the behavioral characteristics of interviewers. In this context, paradata and GPS-paradata are an important new tool for use in the process of quality control of collected data or as part of a methodological audit, allowing not only to potentially identify and prevent falsification or fabrication by interviewers, but also to assess the correctness of methodological instructions. This article provides an overview of the available and practiced methods for using GPS-paradata in two main strategies (data point analysis and interviewer path analysis): geofencing, strand length, curbstoning, connecting interviews’ locations and interviewer path analysis. The possibilities of using such control methods depend on the sample design and on the methodological features of the surveys in general. However, the use of GPS-paradata to control the data collection process is not in itself a surefire method for detecting interviewers’ fabrications or falsifications, as it may be subject to technical inaccuracies or unintentional interviewer errors. It is a useful additional method aimed at identifying “suspicious” interviews which require the use of more resource-intensive methods of control (for example, repeated contact). In addition, the article presents an analysis of the quality of acquired GPS-paradata on the example of 26th wave of the RLMS-HSE, based on analyzing missing data and quality of measurements (HDOP). The results show that the quality of GPS-paradata can be related both to the region where the interview is conducted and to the characteristics of the interviewers.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Sotsiologicheskiy Zhurnal
Sotsiologicheskiy Zhurnal Social Sciences-Social Sciences (all)
CiteScore
0.90
自引率
0.00%
发文量
29
审稿时长
37 weeks
期刊介绍: “Sotsiologicheskij Zhurnal” publishes the articles on sociological disciplines. Interdisciplinary studies in sociology and related disciplines, such as social psychology, cultural studies, anthropology, ethnography, etc. — are also welcomed. The main emphasis is on the fundamental research in the field of theory, methodology and history of sociology. The regular rubric highlights the results of mass surveys and case studies. The rubric “Discussion”, which debated the controversial issues of sociological research, is regular as well. The journal publishes book reviews, and summaries, as well as lists of new books in Russian and English, which represent the main areas of interdisciplinary research in the social sciences. The journal aims to not only play samples of knowledge, considered regulatory and standards of internal expertise in the professional community, but also aims for opportunities to improve them. These rules, a tough selection and decision to print only a small portion of incoming materials allow “Sotsiologicheskij Zhurnal” contribute to improving the quality of sociological research. Submitted manuscripts should show a high integrity in problem setting, problem analysis and correspond to the journal’s thematic profile and its scientific priorities.
期刊最新文献
Theoretical Approaches Towards Studying Motivation for Surrogate Motherhood A Person that Feels, Values, and Studies Time. Professor Garold E. Zborovsky is 85 Years Old Is it Possible for a Society to Exist Without Development? Telemedicine in Russian Megacities: Problems and Prospects Batygin’s Lesson stuck with me on my Professional Path — Always Check Yourself to Make Sure your Conclusions Can Be Substantiated”. Interview Prepared by D.M. Rogozin
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1