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来源:www.coursera.org
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6个序列
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等级:入门
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社会学
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语言:英语
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192分
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24小时总数
关于内容
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.
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课程大纲
- Week 1 - 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 - Week 2 - Unit 2: Response Process
Comprehension; Retrieval; Judgment; Response - Week 3 - Unit 3: Asking Factual Questions
Facts and quasi facts; Memory and recall; Asking sensitive questions; Mode, privacy and confidentiality - Week 4 - Unit 4: Measuring Attitudes
Context effects in attitude questions; Use of different scales; Offering don’t know options; Response order effects - Week 5 - Unit 5: Testing Questionnaires
Expert reviews and focus groups; Cognitive interviews; Behavior coding; Quantitative techniques - Week 6 - Unit 6: Putting It All Together
The questionnaire from start to finish; Things to put at the end; Mode Choice: Implementations for layout; Self-administered questionnaires
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教师
Frederick Conrad, Ph.D.
Research Professor, Survey Methodology
Institute for Social Research
Frauke Kreuter, Ph.D.
Professor, Joint Program in Survey Methodology
Adjunct Research Professor, Institute for Social Research
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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.
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Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。
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