Making Errors in Surveys

Author:

Alwin Duane F.1

Affiliation:

1. Indiana University

Abstract

This paper introduces the collection of papers in the present issue of Sociological Methods and Research. A framework is developed for considering issues in survey methodology, especially those concerned with "errors in surveys," and an overview of research in the area is presented. The paper emphasizes both the concern with improving the quality of survey data in their collection and the concern with improving the quality of the inferences made from survey data in their analysis. A range of topics is covered, including discussions of completion rates, sample coverage, locating respondents in longitudinal research, response rates, item nonresponse, weighting to adjust for noncoverage and nonresponse bias, interviewer variability, question structure and sequence, methods of administration, and respondent errors. The papers included in the present collection focus on many of these issues and reflect the contemporary concerns of social scientists with the problems of making errors using survey data.

Publisher

SAGE Publications

Subject

Sociology and Political Science,Social Sciences (miscellaneous)

Reference132 articles.

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the estimation of finite population variance for a mail survey design in the presence of non-response using new conventional and calibrated estimators;Communications in Statistics - Theory and Methods;2022-07-07

2. Calibrated Estimators of Population Mean for a Mail Survey Design;Communications in Statistics - Theory and Methods;2015-04

3. Data Collection Methods and Survey Quality: An Overview;Survey Measurement and Process Quality;1997-02-10

4. Literaturverzeichnis;Computer Aided Team und Produktivität;1995

5. How valid is self-reported financial aid information?;Research in Higher Education;1994-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3