Suppr超能文献

调查问题:当前趋势与未来方向。

Questions for Surveys: Current Trends and Future Directions.

作者信息

Schaeffer Nora Cate, Dykema Jennifer

机构信息

N ORA C ATE S CHAEFFER is the Sewell Bascom Professor of Sociology at the University of Wisconsin-Madison and the Faculty Director of the University of Wisconsin Survey Center, Madison, WI, USA. J ENNIFER D YKEMA is an Associate Research Scientist and Survey Methodologist at the University of Wisconsin Survey Center, Madison, WI, USA. We wish to thank Barbara Forsyth, Eleanor Singer, Roger Tourangeau, Gordon Willis, and the POQ editors for various helpful contributions and comments, and Jeremy Beach for research assistance. The research reported here was supported in part by the Wisconsin Center for Demography and Ecology (National Institute of Child Health and Human Development Center Grant [R24 HD047873 to James R. Walker]); by the Wisconsin Center for Demography of Health and Aging (National Institute on Aging Center Grant [P30 AG017266 to Robert M. Hauser]); and by the University of Wisconsin Survey Center (UWSC), which receives support from the College of Letters and Science.

出版信息

Public Opin Q. 2011 Dec;75(5):909-961. doi: 10.1093/poq/nfr048.

Abstract

We begin with a look back at the field to identify themes of recent research that we expect to continue to occupy researchers in the future. As part of this overview, we characterize the themes and topics examined in research about measurement and survey questions published in in the past decade. We then characterize the field more broadly by highlighting topics that we expect to continue or to grow in importance, including the relationship between survey questions and the total survey error perspective, cognitive versus interactional approaches, interviewing practices, mode and technology, visual aspects of question design, and culture. Considering avenues for future research, we advocate for a decision-oriented framework for thinking about survey questions and their characteristics. The approach we propose distinguishes among various aspects of question characteristics, including question topic, question type and response dimension, conceptualization and operationalization of the target object, question structure, question form, response categories, question implementation, and question wording. Thinking about question characteristics more systematically would allow study designs to take into account relationships among these characteristics and identify gaps in current knowledge.

摘要

我们首先回顾该领域,以确定近期研究的主题,我们预计这些主题在未来仍将占据研究人员的关注。作为这一概述的一部分,我们对过去十年发表的关于测量和调查问题的研究中所探讨的主题和话题进行了描述。然后,我们通过突出那些我们预计将持续或在重要性上不断增长的话题,更广泛地描述该领域,这些话题包括调查问题与总体调查误差视角之间的关系、认知方法与互动方法、访谈实践、方式和技术、问题设计的视觉方面以及文化。在考虑未来研究的途径时,我们倡导采用一种以决策为导向的框架来思考调查问题及其特征。我们提出的方法区分了问题特征的各个方面,包括问题主题、问题类型和回答维度、目标对象的概念化和操作化、问题结构、问题形式、回答类别、问题实施以及问题措辞。更系统地思考问题特征将使研究设计能够考虑这些特征之间的关系,并识别当前知识中的差距。

相似文献

2
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
4
5

引用本文的文献

4
Understanding Internal Medicine Residents' Rheumatology Knowledge Base.了解内科住院医师的风湿病知识库。
Cureus. 2024 May 20;16(5):e60689. doi: 10.7759/cureus.60689. eCollection 2024 May.

本文引用的文献

9
Eliciting Subjective Probabilities in Internet Surveys.在互联网调查中引出主观概率
Public Opin Q. 2008 Dec 1;72(5):866-891. doi: 10.1093/poq/nfn062.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验