This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.
이 강좌는 Survey Data Collection and Analytics 전문 분야의 일부입니다.
Questionnaire Design for Social Surveys
4.4
(268개의 평가)
22,345명이 이미 등록했습니다!
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강의 계획 - 이 강좌에서 배울 내용
주
1완료하는 데 3시간 필요
Introduction and Unit 1: Overview of Standardized Interviewing
Introduction; Different types of questions, Measurement error in questions: Bias and variance; Standardized and conversational interviewing; From specifying a concept to asking questions
6 videos (Total 67 min), 12 readings, 1 quiz
6개의 동영상
Types of Questions7m
Measurement Error: Bias and Variance7m
Standardized Interviewing17m
Conversational Interviewing17m
Concept Specification10m
12개의 읽기 자료
Slides Introduction10m
Syllabus10m
Help us learn more about you!10m
Reading Assignments10m
Enrollment Options10m
Course Project and Peer Assessment10m
Grading and Certification10m
FAQs10m
References/Resources10m
Announcement Unit 110m
Slides Unit 110m
Notice for Auditing Learners: Assignment Submission10m
1개 연습문제
Quiz #120m
주
2완료하는 데 1시간 필요
Unit 2: Response Process
Comprehension; Retrieval; Judgment; Response
4 videos (Total 50 min), 2 readings, 1 quiz
4개의 동영상
Response Process: Retrieval12m
Response Process: Judgment11m
Response Process: Response10m
2개의 읽기 자료
Announcement Unit 210m
Slides Unit 210m
1개 연습문제
Quiz #220m
주
3완료하는 데 4시간 필요
Unit 3: Asking Factual Questions
Facts and quasi facts; Memory and recall; Asking sensitive questions; Mode, privacy and confidentiality
8 videos (Total 68 min), 2 readings, 2 quizzes
8개의 동영상
Memory and Recall: Reporting Behavioral Frequencies9m
Memory and Recall: Length of Reference Period8m
Memory and Recall: Comprehension and Retrieval6m
Asking Sensitive Questions6m
Asking Sensitive Questions: Techniques8m
Asking Sensitive Questions: Indirect Techniques3m
Mode, Privacy, and Confidentiality9m
2개의 읽기 자료
Announcement Unit 310m
Slides Unit 310m
1개 연습문제
Quiz #320m
주
4완료하는 데 2시간 필요
Unit 4: Measuring Attitudes
Context effects in attitude questions; Use of different scales; Offering don’t know options; Response order effects
7 videos (Total 59 min), 2 readings, 1 quiz
7개의 동영상
Attitude Questions: Context Effects9m
Attitude Questions: Specific vs. General Evaluations2m
Attitude Questions; Agree Disagree Scales5m
Attitude Questions: Don't Know7m
Attitude Questions: Order Effects10m
All Questions: Response Options and Scales14m
2개의 읽기 자료
Announcement Unit 410m
Slides Unit 410m
1개 연습문제
Quiz #420m
4.4
73개의 리뷰25%
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20%
이 강좌를 통해 확실한 경력상 이점 얻기
12%
급여 인상 또는 승진하기
최상위 리뷰
An excellent course that covers the fundamental concepts for survey design and administration. The content was well structured and presentations and study material was rich and comprehensive.
I wasn't a student's social major, I took this course in need of making a questionnaire for my researching. It is useful and easy to access the main key of a survey. Thank you
강사
Frederick Conrad, Ph.D.
Research Professor, Survey MethodologyInstitute for Social Research
Frauke Kreuter, Ph.D.
Professor, Joint Program in Survey MethodologyAdjunct Research Professor, Institute for Social Research
미시건 대학교 정보
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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