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.
이 강좌는 Survey Data Collection and Analytics 전문 분야의 일부입니다.
Data Collection: Online, Telephone and Face-to-face
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About this Course
최근 조회 5,402회
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학습자 경력 결과
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이 강좌를 수료한 후 새로운 경력 시작하기
33%
이 강좌를 통해 확실한 경력상 이점 얻기
40%
급여 인상 또는 승진하기
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 7개 강좌 중 2번째 강좌:
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일정에 따라 마감일을 재설정합니다.
초급 단계
완료하는 데 약 12시간 필요
권장: 4 weeks of study, 2-4 hours/weeks
영어
자막: 영어
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
12개 동영상 (총 134분), 5 readings, 1 quiz
12개의 동영상
1.2.1 Introduction to Survey Errors10m
1.2.2 Variable Error and Bias10m
1.2.3 Total Survey Error7m
1.3.1 What do we mean by “mode?”16m
1.3.2 Mode Choice (by respondent)12m
1.4.1 Mixed Mode Design8m
1.4.2 Concurrent Mixed Mode8m
1.4.3 Sequential (Follow-up) Mixed Mode11m
1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs15m
1.5.1 Response Rates6m
1.5.2 Nonresponse Error13m
5개의 읽기 자료
Module 1 Overview10m
Help us learn more about you!10m
Module 1 Required Readings10m
Module 1 Lecture Slides10m
Notice for Auditing Learners: Assignment Submission10m
1개 연습문제
Module 1: Classic Modes of Data Collection20m
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
9개 동영상 (총 131분), 3 readings, 1 quiz
9개의 동영상
2.1.2 ACASI continued8m
2.2.1 Coverage17m
2.2.2 Nonresponse9m
2.2.3 Measurement21m
2.3.1 Progress Indicators, Running Tallies10m
2.3.2 Online Definitions6m
2.3.3 Speeding Interventions10m
2.4 Reg Baker (MRII) about web surveys in market research36m
3개의 읽기 자료
Module 2 Overview10m
Module 2 Required Readings10m
Module 2 Lecture Slides10m
1개 연습문제
Quiz Two24m
완료하는 데 4시간 필요
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.
완료하는 데 4시간 필요
9개 동영상 (총 173분), 3 readings, 1 quiz
9개의 동영상
3.1.2 Respondent selection, Within Household Sampling14m
3.1.3 Proxy Responding13m
3.2.1 Standardization Debate: Wording vs. Meaning12m
3.2.2 Different approaches to standardized interviewing14m
3.2.3 Personal vs. Formal Style, I-R Rapport18m
3.3.1 Variance: Interviewer Behavior25m
3.3.2 Bias: Interviewers’ Fixed Attributes16m
3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing40m
3개의 읽기 자료
Module 3 Overview10m
Module 3 Required Readings10m
Module 3 Lecture Slides10m
1개 연습문제
Quiz Three20m
완료하는 데 5시간 필요
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.
완료하는 데 5시간 필요
12개 동영상 (총 194분), 4 readings, 2 quizzes
12개의 동영상
4.1.2 Mobile Web Surveys19m
4.1.3 Text Message Surveys11m
4.1.4 Text vs. Voice Interviews15m
4.2.1 Record linkage: statistical issues12m
4.2.2 Record linkage: Techniques18m
4.2.3 Record linkage: informed consent and ethical issues12m
4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data17m
4.3.2 Social media applications: Measuring Mood and Depression11m
4.3.3 Social Media and Population Estimates: Successes7m
4.3.4 Why does social media content align with surveys data sometimes and not other times?13m
4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys37m
4개의 읽기 자료
Module 4 Overview10m
Module 4 Required Readings10m
Module 4 Lecture Slides10m
Post-course Survey10m
2개 연습문제
Module 4: Emerging modes, new data sources20m
Final Exam40m
검토
4.5
DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE의 최상위 리뷰
J 제공May 26, 2019
-\n\nthe difference between mobile survey and web survey\n\ndifference between online and face to face interviews\n\ndifference between telephone interviews and computer interviws
SK 제공Jul 19, 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.
EW 제공Mar 27, 2019
Very good summary of the advantages and disadvantages of different approaches to survey data collection, including some useful context about hybrid approaches.
CP 제공Mar 28, 2017
The course material presents the traditional methods and latest developments in data collection for survey research. Excellent overall.
제공자:
미시건 대학교
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.
Survey Data Collection and Analytics 전문 분야 정보
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.
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