This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with 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 some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.
本课程是 Survey Data Collection and Analytics 专项课程 专项课程的一部分
Framework for Data Collection and Analysis
提供方
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 3 小时
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 collection techniques, highlight the importance of data curation, and discuss some basic features that can affect your data analysis when dealing with sample data. Issues of data access and resources for access are introduced in this module.
9 个视频 （总计 51 分钟）, 5 个阅读材料, 1 个测验
9 个视频
Types of Data9分钟
Examples of Found Data2分钟
Visualizing the Data Generation Process5分钟
Data Curation5分钟
Data Analysis5分钟
Access Issues3分钟
Access Resources3分钟
Summary58
5 个阅读材料
Course Overview10分钟
Readings and Resources List10分钟
Handouts10分钟
AAPOR (2015)40分钟
Couper (2013)30分钟
1 个练习
Quiz for Week 120分钟
周
2完成时间为 2 小时
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 to choose the right mode.
6 个视频 （总计 36 分钟）, 2 个阅读材料, 1 个测验
6 个视频
Planning on What You Want to Observe7分钟
Planning on How to Collect Data6分钟
New Modes4分钟
Web and Google6分钟
Choosing a Mode4分钟
2 个阅读材料
Handouts10分钟
Jäckle et al. (2015)30分钟
1 个练习
Quiz for Week 220分钟
周
3完成时间为 2 小时
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 helps you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source.
8 个视频 （总计 49 分钟）, 3 个阅读材料, 1 个测验
8 个视频
Inference4分钟
Survey Life Cycle from a Design Perspective - Measurement4分钟
Survey Life Cycle from a Design Perspective - Representation5分钟
Survey Lifecycle from a Process Perspective1分钟
Survey Lifeycle from a Quality Perspective14分钟
Survey Lifecycle from a Quality Perspective (II) - Metrics4分钟
Survey Lifecycle from a Quality Perspective (III) - Coverage and Sampling8分钟
3 个阅读材料
Handouts10分钟
Groves (2011)20分钟
Groves & Lyberg (2010)30分钟
1 个练习
Quiz for Week 320分钟
周
4完成时间为 2 小时
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 or insights.
8 个视频 （总计 36 分钟）, 2 个阅读材料, 1 个测验
2 个阅读材料
Handouts10分钟
Davidov (2008)30分钟
1 个练习
Quiz for Week 420分钟
4.1
71 个审阅29%
完成这些课程后已开始新的职业生涯
25%
通过此课程获得实实在在的工作福利
热门审阅
Very clear and organised structure\n\nClear examples to support learning objectives\n\nAttractive use of voice\n\nOne point for improvement: Do not film while the lecturer is still refinding breath
The teacher for the course was great. She explained everything very clearly. She also explained what is coming next. Learned a lot. Reading materials were overwhelming.
讲师
Frauke Kreuter, Ph.D.
Professor, Joint Program in Survey MethodologyAdjunct Research Professor, Institute for Social Research
Mariel Leonard
LecturerJoint Program in Survey Methodology
关于 马里兰大学帕克分校
The University of Maryland is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 37,000 students, 9,000 faculty and staff, and 250 academic programs. Its faculty includes three Nobel laureates, three Pulitzer Prize winners, 47 members of the national academies and scores of Fulbright scholars. The institution has a $1.8 billion operating budget, secures $500 million annually in external research funding and recently completed a $1 billion fundraising campaign.
关于 Survey Data Collection and Analytics 专项课程
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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