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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-collection-methods
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课程名称：数据收集：在线、电话和面对面 课程概述：本课程旨在研究数据收集决策如何影响调查误差，并非一门“如何操作”的数据收集课程。它回顾了调查设计决策和数据质量的文献，帮助学习者理解不同的调查设计如何可能影响所收集的数据。课程涵盖多种数据收集方法，包括基于采访的方法（面对面和电话）以及自我管理的方法（邮寄纸质问卷和在线调查）。混合模式设计以及收集敏感信息的几种混合方式也一并涉及，例如在面对面采访中自我管理敏感问题。课程还介绍了新兴的方法，如移动网络和短信采访，并探讨社会媒体等替代数据源。这门课程重点关注这些技术对调查数据质量的影响，包括测量误差、非响应和覆盖等问题，并评估研究者在选择模式或调查设计时在这些误差来源之间的权衡。 课程大纲： 模块1：介绍，经典调查数据收集模式 在本模块中，您将介绍一些关于调查数据收集方法的关键概念，为后续课程打下基础。学习结束后，您应熟悉主要的调查误差来源及其如何受到特定调查模式的影响。 模块2：自我管理，在线数据收集 本模块重点关注受访者自我管理问题并直接向研究者提供响应的模式。课程结束时，您将理解自我管理模式的优缺点。 模块3：采访者与采访 在本模块中，我们探讨采访者在提问和收集答案之外的各种角色，以及不同采访方法如何影响响应的准确性。学习结束时，您将能够欣赏到数据收集的优势和成本，并将其与自我管理的成本和好处进行比较。 模块4：新兴模式与新数据源 本模块关注一些新的数据收集模式，如移动网络调查和短信采访，以及传感器数据、行政数据和社交媒体等替代数据源。学习结束后，您将对调查方法学者和研究人员当前所关注的问题有更深入的认识，并能够权衡这些新方法和数据源的优缺点。
Name:Module 1: Introduction, Classic Modes of Survey Data Collection
Description:In this lesson, you will be introduced to some key concepts about survey data collection methods that we will rely on throughout the course. By the end of this lesson, you should be well acquainted with the major sources of survey error and how these are affected -- usually in the form of tradeoffs -- by the particular mode used to administer questions and capture responses.
Name:Module 2: Self-administration, Online Data Collection
Description:This second lesson focuses on modes in which survey respondents self-administer questions and provide their responses directly to researchers. By the end of Lesson 2, you will understand the pros and cons of self-administered modes from the TSE perspective.
Name:Module 3: Interviewers and Interviewing
Description:In this lesson, we explore the various roles interviewers take on beside asking questions and collecting answers, as well as some of the different approaches to interviewing that have been proposed and how they affect the accuracy of responses. By the end of Lesson 3, you will appreciate the benefits and costs of collecting data in interviews and will be able to contrast them with the costs and benefits of self-administration.
Name:Module 4: Emerging modes, new data sources
Description:In this lesson, we focus on some new data collection modes such as mobile web surveys and SMS text interviews, as well as alternative data sources such as sensor data, administrative data, and social media. By the end of this lesson, you will have a sense of the issues to which survey methodologists and survey researchers are devoting much of their attention these days. You will be able to weigh the pros and cons of these new methods and data sources.
This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys. The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys). Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design.
