课程信息
4.3
26 个评分
4 个审阅
专项课程

第 6 门课程(共 7 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为8 小时

建议:7 hours/week...
可选语言

英语(English)

字幕:英语(English)...
专项课程

第 6 门课程(共 7 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为8 小时

建议:7 hours/week...
可选语言

英语(English)

字幕:英语(English)...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 2 小时

Basic Estimation

After completing Modules 1 and 2 of this course you will understand how to estimate descriptive statistics, overall and for subgroups, when you deal with survey data. We will review software for estimation (R, Stata, SAS) with examples for how to estimate things like means, proportions, and totals. You will also learn how to estimate parameters in linear, logistic, and other models and learn software options with emphasis on R. Module 3 and 4 discuss how you can add additional data to your analysis. This requires knowing about record linkage techniques, and what it takes to get permission to link data....
Reading
7 个视频(共 69 分钟), 6 个阅读材料, 1 个测验
Video7 个视频
Overview7分钟
Basic R examples15分钟
Basic R examples (continued)13分钟
Degrees of Freedom7分钟
Estimating Means7分钟
Multistage samples5分钟
Quantile estimation in R10分钟
Reading6 个阅读材料
Slides10分钟
Slides10分钟
Slides10分钟
Slides10分钟
Slides (continued)10分钟
Slides10分钟
Quiz1 个练习
Course 6 Module 114分钟
2
完成时间(小时)
完成时间为 2 小时

Models

Module 2 covers how to estimate linear and logistic model parameters using survey data. After completing this module, you will understand how the methods used differ from the ones for non-survey data. We also cover the features of survey data sets that need to be accounted for when estimating standard errors of estimated model parameters....
Reading
8 个视频(共 50 分钟), 8 个阅读材料, 1 个测验
Video8 个视频
Estimation Method3分钟
Linear Models5分钟
Diagnostics in R8分钟
Linear Models in Stata5分钟
Logistic Models in R4分钟
Odds Ratios8分钟
Logistic Regression in Stata6分钟
Reading8 个阅读材料
Slides10分钟
Slides10分钟
Slides10分钟
Slides10分钟
Slides10分钟
Slides10分钟
Slides10分钟
Slides10分钟
Quiz1 个练习
Course 6 Module 214分钟
3
完成时间(小时)
完成时间为 3 小时

Record Linkage

Module starts with the current debate on using more (linked) administrative records in the U.S. Federal Statistical System, and a general motivation for linking records. Several examples will be given on why it is useful to link data. Challenges of record linkage will be discussed. A brief overview over key linkage techniques is included as well....
Reading
4 个视频(共 38 分钟), 12 个阅读材料, 1 个测验
Video4 个视频
Gentle Introduction9分钟
Challenges8分钟
Key Techniques11分钟
Reading12 个阅读材料
Improving Federal Statistics Using Multiple Data Sources10分钟
Longitudinal Employer-Household Dynamics (LEHD)10分钟
Impact of Research on Innovation, Competition and Science10分钟
Slides10分钟
Slides - Introduction10分钟
Technical Overview - Software10分钟
Slides: Challenges10分钟
Slides10分钟
Record Linkage (Herzog/Scheuren/Winkler 2010)10分钟
Febrl - A Freely Available Record Linkage System (Christen)10分钟
Machine Learning and Record Linkage (Winkler 2011)10分钟
Privacy Preserving Record Linkage (Schnell et al. 2009)10分钟
Quiz1 个练习
Quiz 3 - Record Linkage10分钟
4
完成时间(小时)
完成时间为 1 小时

Ethics

This module will discuss key issues in obtaining consent to record linkage. Failure to consent can lead to bias estimates. Current research examples will be given as well as practical suggestions on how to obtain linkage consent. ...
Reading
5 个视频(共 23 分钟), 3 个阅读材料, 1 个测验
Video5 个视频
Linkage Consent and Consent Bias8分钟
Correlates of Consent3分钟
Bias in Administrative Estimates2分钟
Optimizing Linkage Consent6分钟
Reading3 个阅读材料
Slides10分钟
Assessing the Magnitude of Non-Consent Biases (Sakshaug & Kreuter 2012)10分钟
Placement, Wording and Interviewers (Sakshaug et al.)10分钟
Quiz1 个练习
Quiz - Linkage Consent10分钟

讲师

Avatar

Richard Valliant, Ph.D.

Research Professor
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

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