- 来自www.coursera.org
Framework for Data Collection and Analysis
课程
en
英语
4 时
此内容评级为 0/5
- 自定进度
- 免费获取
- 收费证书
- 4 序列
- 等级 中级
课程详情
教学大纲
- Week 1 - Research Designs and Data Sources
The first course in the specialization provides an overview of the topics to come. This module walks you through the process of data collection and analysis. Starting with a research question and a review of existing data sources, we cover survey data collecti... - Week 2 - Measurements and Analysis Plan
In this module we will emphasize the importance of having a well specified research question and analysis plan. We will provide an overview over the various data collection strategies, a variety of available modes for data collection and some thinking on how t... - Week 3 - Quality Framework
In this module you will be introduced to a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn so... - Week 4 - Application of TSE Framework to Existing Surveys
In this module we introduce a few surveys across a variety of topics. For each we highlight data collection features. The surveys span a variety of topics. We challenge you to think about alternative data sources that can be used to gather the same information...
先决条件
没有。
讲师
Frauke Kreuter, Ph.D.
Professor, Joint Program in Survey Methodology
Adjunct Research Professor, Institute for Social Research
Mariel Leonard
Lecturer
Joint Program in Survey Methodology
编辑
马里兰大学是马里兰州的旗舰大学，也是全美领先的公立研究型大学之一。该大学在研究、创业和创新方面处于世界领先地位，拥有 37,000 多名学生、9,000 多名教职员工和 250 个学术项目。
该校教师中有三位诺贝尔奖获得者、三位普利策奖获得者、47 位国家科学院院士和众多富布赖特学者。该校的运营预算为 18 亿美元，每年从外部筹集 5 亿美元的研究经费，最近还完成了 10 亿美元的筹资活动。
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。
此内容评级为 4.5/5
(没有评论)此内容评级为 4.5/5
(没有评论)完成这个资源，写一篇评论