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完成時間大約為9 小時

建議:4 weeks of study, 1-2 hours/week...

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學習Course的學生是
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User
學習Course的學生是
  • Biostatisticians
  • Economists
  • Data Scientists
  • Data Analysts
  • Researchers

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為9 小時

建議:4 weeks of study, 1-2 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

General Steps in Weighting

7 個視頻 (總計 48 分鐘), 7 個閱讀材料, 7 個測驗
7 個視頻
Introduction10分鐘
Quantities to Estimate8分鐘
Goals of Estimation6分鐘
Statistical Interpretation of Estimates10分鐘
Coverage Problems5分鐘
Improving Precision3分鐘
Effects of Weighting on SEs2分鐘
7 個閱讀材料
Class notes + additional reading10分鐘
Class notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
7 個練習
Introductory quiz on weights6分鐘
Quantities4分鐘
Goals6分鐘
Interpretation6分鐘
Coverage4分鐘
Improving precision6分鐘
Effects on SEs6分鐘
2
完成時間為 2 小時

Specific Steps

6 個視頻 (總計 44 分鐘), 6 個閱讀材料, 5 個測驗
6 個視頻
Overview7分鐘
Base Weights8分鐘
Nonresponse Adjustments7分鐘
Response Propensities4分鐘
Tree algorithms10分鐘
Calibration5分鐘
6 個閱讀材料
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
5 個練習
Overview6分鐘
Base weights6分鐘
Nonresponse4分鐘
Trees4分鐘
Calibration6分鐘
3
完成時間為 2 小時

Implementing the Steps

6 個視頻 (總計 64 分鐘), 5 個閱讀材料, 4 個測驗
6 個視頻
Software4分鐘
Base Weights10分鐘
More on Base Weights13分鐘
Nonresponse Adjustments13分鐘
Examples of Calibration7分鐘
Software for Poststratification14分鐘
5 個閱讀材料
Class Notes10分鐘
Class Notes + Software10分鐘
Class Notes10分鐘
Class Notes + Software for propensity classes10分鐘
Class Notes + Software for calibration10分鐘
4 個練習
Software4分鐘
Quiz on base weights8分鐘
Quiz on nonresponse adjustments6分鐘
Quiz on calibration and poststratification8分鐘
4
完成時間為 2 小時

Imputing for Missing Items

6 個視頻 (總計 46 分鐘), 5 個閱讀材料, 5 個測驗
6 個視頻
Means and hotdeck7分鐘
Regression Imputation6分鐘
Effect on Variances9分鐘
mice R package4分鐘
mice example10分鐘
5 個閱讀材料
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes10分鐘
Class Notes + mice R package10分鐘
5 個練習
Reasons for imputing6分鐘
Means and hot deck4分鐘
Regression imputation8分鐘
Effects on variances8分鐘
Imputation software12分鐘
完成時間為 13 分鐘

Summary of Course 5

1 個視頻 (總計 3 分鐘), 1 個閱讀材料
1 個視頻
Summary2分鐘
1 個閱讀材料
Class Notes10分鐘
3.8
22 個審閱Chevron Right

來自Dealing With Missing Data的熱門評論

創建者 ZMAug 20th 2019

interesting material, well taught, lots of short quizzes to enforce understanding.

創建者 MMJun 5th 2017

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

講師

Avatar

Richard Valliant, Ph.D.

Research Professor
Joint Program in Survey Methodology

關於 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. ...

關於 Survey Data Collection and Analytics 專項課程

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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