课程信息
4.1
257 个评分
65 个审阅
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....
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Intermediate Level

中级

Clock

Approx. 7 hours to complete

建议:4 weeks of study, 1-2 hours/week...
Comment Dots

English

字幕:English...

您将获得的技能

Data CollectionData QualityData AnalysisData Generating Process
Globe

100% 在线课程

立即开始,按照自己的计划学习。
Calendar

可灵活调整截止日期

根据您的日程表重置截止日期。
Intermediate Level

中级

Clock

Approx. 7 hours to complete

建议:4 weeks of study, 1-2 hours/week...
Comment Dots

English

字幕:English...

教学大纲 - 您将从这门课程中学到什么

Week
1
Clock
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. ...
Reading
9 个视频(共 51 分钟), 5 个阅读材料, 1 个测验
Video9 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
Summary分钟
Reading5 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
Quiz1 个练习
Quiz for Week 120分钟
Week
2
Clock
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. ...
Reading
6 个视频(共 36 分钟), 2 个阅读材料, 1 个测验
Video6 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
Reading2 个阅读材料
Handouts10分钟
Jäckle et al. (2015)30分钟
Quiz1 个练习
Quiz for Week 220分钟
Week
3
Clock
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....
Reading
8 个视频(共 49 分钟), 3 个阅读材料, 1 个测验
Video8 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
Reading3 个阅读材料
Handouts10分钟
Groves (2011)20分钟
Groves & Lyberg (2010)30分钟
Quiz1 个练习
Quiz for Week 320分钟
Week
4
Clock
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....
Reading
8 个视频(共 36 分钟), 2 个阅读材料, 1 个测验
Video8 个视频
NCVS8分钟
NSDUH3分钟
SCA3分钟
NAEP3分钟
BRFSS2分钟
CES3分钟
SHARE5分钟
ESS6分钟
Reading2 个阅读材料
Handouts10分钟
Davidov (2008)30分钟
Quiz1 个练习
Quiz for Week 420分钟
4.1
Direction Signs

17%

完成这些课程后已开始新的职业生涯
Briefcase

83%

通过此课程获得实实在在的工作福利
Money

11%

加薪或升职

热门审阅

创建者 MMMar 7th 2018

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

创建者 KMOct 5th 2018

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 Methodology
Adjunct Research Professor, Institute for Social Research

Mariel Leonard

Lecturer
Joint Program in Survey Methodology

关于 University of Maryland, College Park

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....
Survey Data Collection and Analytics

常见问题

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

还有其他问题吗?请访问 学生帮助中心