课程信息
4.5
139 个评分
30 个审阅
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
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初级

初级

完成时间(小时)

完成时间大约为12 小时

建议:4 weeks of study, 2-4 hours/weeks...
可选语言

英语(English)

字幕:英语(English)
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
初级

初级

完成时间(小时)

完成时间大约为12 小时

建议:4 weeks of study, 2-4 hours/weeks...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 3 小时

Module 1: Introduction, Classic Modes of Survey Data Collection

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....
Reading
12 个视频 (总计 134 分钟), 5 个阅读材料, 1 个测验
Video12 个视频
1.2.1 Introduction to Survey Errors10分钟
1.2.2 Variable Error and Bias10分钟
1.2.3 Total Survey Error7分钟
1.3.1 What do we mean by “mode?”16分钟
1.3.2 Mode Choice (by respondent)12分钟
1.4.1 Mixed Mode Design8分钟
1.4.2 Concurrent Mixed Mode8分钟
1.4.3 Sequential (Follow-up) Mixed Mode11分钟
1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs15分钟
1.5.1 Response Rates6分钟
1.5.2 Nonresponse Error13分钟
Reading5 个阅读材料
Module 1 Overview10分钟
Help us learn more about you!10分钟
Module 1 Required Readings10分钟
Module 1 Lecture Slides10分钟
Notice for Auditing Learners: Assignment Submission10分钟
Quiz1 个练习
Module 1: Classic Modes of Data Collection20分钟
2
完成时间(小时)
完成时间为 3 小时

Module 2: Self-administration, Online Data Collection

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....
Reading
9 个视频 (总计 131 分钟), 3 个阅读材料, 1 个测验
Video9 个视频
2.1.2 ACASI continued8分钟
2.2.1 Coverage17分钟
2.2.2 Nonresponse9分钟
2.2.3 Measurement21分钟
2.3.1 Progress Indicators, Running Tallies10分钟
2.3.2 Online Definitions6分钟
2.3.3 Speeding Interventions10分钟
2.4 Reg Baker (MRII) about web surveys in market research36分钟
Reading3 个阅读材料
Module 2 Overview10分钟
Module 2 Required Readings10分钟
Module 2 Lecture Slides10分钟
Quiz1 个练习
Quiz Two24分钟
3
完成时间(小时)
完成时间为 4 小时

Module 3: Interviewers and Interviewing

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. ...
Reading
9 个视频 (总计 173 分钟), 3 个阅读材料, 1 个测验
Video9 个视频
3.1.2 Respondent selection, Within Household Sampling14分钟
3.1.3 Proxy Responding13分钟
3.2.1 Standardization Debate: Wording vs. Meaning12分钟
3.2.2 Different approaches to standardized interviewing14分钟
3.2.3 Personal vs. Formal Style, I-R Rapport18分钟
3.3.1 Variance: Interviewer Behavior25分钟
3.3.2 Bias: Interviewers’ Fixed Attributes16分钟
3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing40分钟
Reading3 个阅读材料
Module 3 Overview10分钟
Module 3 Required Readings10分钟
Module 3 Lecture Slides10分钟
Quiz1 个练习
Quiz Three20分钟
4
完成时间(小时)
完成时间为 5 小时

Module 4: Emerging modes, new data sources

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. ...
Reading
12 个视频 (总计 194 分钟), 4 个阅读材料, 2 个测验
Video12 个视频
4.1.2 Mobile Web Surveys19分钟
4.1.3 Text Message Surveys11分钟
4.1.4 Text vs. Voice Interviews15分钟
4.2.1 Record linkage: statistical issues12分钟
4.2.2 Record linkage: Techniques18分钟
4.2.3 Record linkage: informed consent and ethical issues12分钟
4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data17分钟
4.3.2 Social media applications: Measuring Mood and Depression11分钟
4.3.3 Social Media and Population Estimates: Successes7分钟
4.3.4 Why does social media content align with surveys data sometimes and not other times?13分钟
4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys37分钟
Reading4 个阅读材料
Module 4 Overview10分钟
Module 4 Required Readings10分钟
Module 4 Lecture Slides10分钟
Post-course Survey10分钟
Quiz2 个练习
Module 4: Emerging modes, new data sources20分钟
Final Exam40分钟
4.5
30 个审阅Chevron Right
工作福利

50%

通过此课程获得实实在在的工作福利
职业晋升

50%

加薪或升职

热门审阅

创建者 SKJul 20th 2016

There is one word for this Course "Amazing". No matter if you are a undergrad student or a seasoned researcher, you'll feel that you have learned a lot from this course.

创建者 CPMar 29th 2017

The course material presents the traditional methods and latest developments in data collection for survey research. Excellent overall.

讲师

Avatar

Frederick Conrad, Ph.D.

Research Professor, Survey Methodology
Institute for Social Research

关于 University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

关于 Survey Data Collection and Analytics 专项课程

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources. Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs....
Survey Data Collection and Analytics

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