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.
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최근 조회 3,988회
유연한 마감일
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공유 가능한 수료증
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 7개 강좌 중 2번째 강좌:
초급 단계
완료하는 데 약 21시간 필요
영어
자막: 프랑스어, 포르투갈어 (유럽), 러시아어, 영어, 스페인어
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 7개 강좌 중 2번째 강좌:
초급 단계
완료하는 데 약 21시간 필요
영어
자막: 프랑스어, 포르투갈어 (유럽), 러시아어, 영어, 스페인어
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.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 4시간 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 4시간 필요
12개 동영상 (총 134분), 5 개의 읽기 자료, 1 개의 테스트
완료하는 데 5시간 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 5시간 필요
9개 동영상 (총 131분), 3 개의 읽기 자료, 1 개의 테스트
완료하는 데 6시간 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 6시간 필요
9개 동영상 (총 173분), 3 개의 읽기 자료, 1 개의 테스트
완료하는 데 7시간 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 7시간 필요
12개 동영상 (총 194분), 5 개의 읽기 자료, 2 개의 테스트
검토
DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE의 최상위 리뷰
J 제공2019년 5월 26일
- the 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 제공2016년 7월 19일
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 제공2019년 3월 27일
Very good summary of the advantages and disadvantages of different approaches to survey data collection, including some useful context about hybrid approaches.
CP 제공2017년 3월 28일
The course material presents the traditional methods and latest developments in data collection for survey research. Excellent overall.
Survey Data Collection and Analytics 특화 과정 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.
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