课程信息
3.8
72 个评分
18 个审阅
专项课程

第 5 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9 小时

建议:4 weeks of study, 1-2 hours/week...
可选语言

英语(English)

字幕:英语(English)...
专项课程

第 5 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9 小时

建议:4 weeks of study, 1-2 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 3 小时

General Steps in Weighting

Weights are used to expand a sample to a population. To accomplish this, the weights may correct for coverage errors in the sampling frame, adjust for nonresponse, and reduce variances of estimators by incorporating covariates. The series of steps needed to do this are covered in Module 1....
Reading
7 个视频(共 48 分钟), 7 个阅读材料, 7 个测验
Video7 个视频
Introduction10分钟
Quantities to Estimate8分钟
Goals of Estimation6分钟
Statistical Interpretation of Estimates10分钟
Coverage Problems5分钟
Improving Precision3分钟
Effects of Weighting on SEs2分钟
Reading7 个阅读材料
Class notes + additional reading10分钟
Class notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Quiz7 个练习
Introductory quiz on weights6分钟
Quantities4分钟
Goals6分钟
Interpretation6分钟
Coverage4分钟
Improving precision6分钟
Effects on SEs6分钟
2
完成时间(小时)
完成时间为 2 小时

Specific Steps

Specific steps in weighting include computing base weights, adjusting if there are cases whose eligibility we are unsure of, adjusting for nonresponse, and using covariates to calibrate the sample to external population controls. We flesh out the general steps with specific details here....
Reading
6 个视频(共 44 分钟), 6 个阅读材料, 5 个测验
Video6 个视频
Overview7分钟
Base Weights8分钟
Nonresponse Adjustments7分钟
Response Propensities4分钟
Tree algorithms10分钟
Calibration5分钟
Reading6 个阅读材料
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Quiz5 个练习
Overview6分钟
Base weights6分钟
Nonresponse4分钟
Trees4分钟
Calibration6分钟
3
完成时间(小时)
完成时间为 2 小时

Implementing the Steps

Software is critical to implementing the steps, but the R system is an excellent source of free routines. This module covers several R packages, including sampling, survey, and PracTools that will select samples and compute weights....
Reading
6 个视频(共 64 分钟), 5 个阅读材料, 4 个测验
Video6 个视频
Software4分钟
Base Weights10分钟
More on Base Weights13分钟
Nonresponse Adjustments13分钟
Examples of Calibration7分钟
Software for Poststratification14分钟
Reading5 个阅读材料
Class Notes10分钟
Class Notes + Software10分钟
Class Notes10分钟
Class Notes + Software for propensity classes10分钟
Class Notes + Software for calibration10分钟
Quiz4 个练习
Software4分钟
Quiz on base weights8分钟
Quiz on nonresponse adjustments6分钟
Quiz on calibration and poststratification8分钟
4
完成时间(小时)
完成时间为 2 小时

Imputing for Missing Items

In most surveys there will be items for which respondents do not provide information, even though the respondent completed enough of the data collection instrument to be considered "complete". If only the cases with all items present are retained when fitting a model, quite a few cases may be excluded from the analysis. Imputing for the missing items avoids dropping the missing cases. We cover methods of doing the imputing and of reflecting the effects of imputations on standard errors in this module....
Reading
6 个视频(共 46 分钟), 5 个阅读材料, 5 个测验
Video6 个视频
Means and hotdeck7分钟
Regression Imputation6分钟
Effect on Variances9分钟
mice R package4分钟
mice example10分钟
Reading5 个阅读材料
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes10分钟
Class Notes + mice R package10分钟
Quiz5 个练习
Reasons for imputing6分钟
Means and hot deck4分钟
Regression imputation8分钟
Effects on variances8分钟
Imputation software12分钟
完成时间(小时)
完成时间为 13 分钟

Summary of Course 5

We briefly summarize the methods of weighting and imputation that were covered in Course 5....
Reading
1 个视频(共 3 分钟), 1 个阅读材料
Video1 个视频
Summary2分钟
Reading1 个阅读材料
Class Notes10分钟
3.8

热门审阅

创建者 MMJun 5th 2017

This course quite help to get as much reliable data as possible for any survey.

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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