課程信息

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初級
完成時間大約為20 小時
英語(English)
字幕:英語(English)
可分享的證書
完成後獲得證書
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。
初級
完成時間大約為20 小時
英語(English)
字幕:英語(English)

提供方

密歇根大学 徽標

密歇根大学

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 3 小時

Module 1: Sampling as a research tool

完成時間為 3 小時
10 個視頻 (總計 145 分鐘), 2 個閱讀材料
10 個視頻
1.1 - Research Design and Sampling - Part 119分鐘
1.1 - Research Design and Sampling - Part 216分鐘
1.2 - Surveys and Sampling12分鐘
1.3 - Why Sample At All? - Part 116分鐘
1.3 - Why Sample At All? - Part 210分鐘
1.4 - Why Might We Randomize, and How Might We Do It?15分鐘
1.5 - What Happens When We Randomize?14分鐘
1.6 - How Do We Evaluate How Good a Sample Is?13分鐘
1.7 - What Kinds of Things Can We Sample?9分鐘
2 個閱讀材料
Help us learn more about you!10分鐘
How to get your questions answered by the instructor in the discussion forums!10分鐘
2

2

完成時間為 5 小時

Mere randomization

完成時間為 5 小時
7 個視頻 (總計 121 分鐘), 1 個閱讀材料, 2 個測驗
7 個視頻
2.2 - Mere Randomization: A Short History17分鐘
2.3 - The SRS Sampling Distribution - Part 19分鐘
2.3 - The SRS Sampling Distribution - Part 222分鐘
2.4 - Sample Size18分鐘
2.5 - Margin of Error18分鐘
2.6 - Sample Size and Population Size16分鐘
1 個閱讀材料
Notice for Auditing Learners: Assignment Submission10分鐘
1 個練習
Week 220分鐘
3

3

完成時間為 5 小時

Saving money using cluster sampling

完成時間為 5 小時
10 個視頻 (總計 168 分鐘)
10 個視頻
3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 219分鐘
3.2 - Design Effects and Intraclass Correlation - Part 118分鐘
3.2 - Design Effects and Intraclass Correlation - Part 215分鐘
3.3 - Two-Stage Sampling16分鐘
3.4 - Designing for Two-Stage Sampling - Part 115分鐘
3.4 - Designing for Two-Stage Sampling - Part 28分鐘
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 115分鐘
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 210分鐘
3.6 - Sampling Fraction20分鐘
1 個練習
Week 312分鐘
4

4

完成時間為 2 小時

Using auxiliary data to be more efficient

完成時間為 2 小時
6 個視頻 (總計 81 分鐘)
6 個視頻
4.2 - Sampling Variance14分鐘
4.3 - More On Grouping15分鐘
4.4 - Allocate Sample8分鐘
4.5 - Other Allocations19分鐘
4.6 - Weights to Combine Across Strata5分鐘
1 個練習
Week 412分鐘

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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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