Data Collection: Online, Telephone and Face-to-face

Data Collection: Online, Telephone and Face-to-face

课程
en
英语
8 时
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  • 来自www.coursera.org
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  • 4 序列
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课程详情

教学大纲

  • Week 1 - 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 affe...
  • Week 2 - 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.
  • Week 3 - 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 ...
  • Week 4 - 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 ...

先决条件

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讲师

Frederick Conrad, Ph.D.
Research Professor, Survey Methodology
Institute for Social Research

编辑

密歇根大学(UM,UMich 或简称密歇根)是一所公立研究型大学,位于美国密歇根州安阿伯市。该大学成立于 1817 年,是密歇根州历史最悠久、规模最大的大学。

密歇根大学的使命是为密歇根州和全世界人民服务,在创造、交流、保存和应用学术知识、艺术和价值观方面发挥领导作用,培养挑战现在和丰富未来的领导者和公民。

平台

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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