课程信息

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初级
完成时间大约为18 小时
英语(English)
字幕:英语(English)
可分享的证书
完成后获得证书
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
根据您的日程表重置截止日期。
初级
完成时间大约为18 小时
英语(English)
字幕:英语(English)

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密歇根大学

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 3 小时

Module 1: Sampling as a research tool

完成时间为 3 小时
10 个视频 (总计 145 分钟), 2 个阅读材料
10 个视频
1.1 - Research Design and Sampling - Part 119分钟
1.1 - Research Design and Sampling - Part 216分钟
1.2 - Surveys and Sampling12分钟
1.3 - Why Sample At All? - Part 116分钟
1.3 - Why Sample At All? - Part 210分钟
1.4 - Why Might We Randomize, and How Might We Do It?15分钟
1.5 - What Happens When We Randomize?14分钟
1.6 - How Do We Evaluate How Good a Sample Is?13分钟
1.7 - What Kinds of Things Can We Sample?9分钟
2 个阅读材料
Help us learn more about you!10分钟
How to get your questions answered by the instructor in the discussion forums!10分钟
2

2

完成时间为 4 小时

Mere randomization

完成时间为 4 小时
7 个视频 (总计 121 分钟), 1 个阅读材料, 2 个测验
7 个视频
2.2 - Mere Randomization: A Short History17分钟
2.3 - The SRS Sampling Distribution - Part 19分钟
2.3 - The SRS Sampling Distribution - Part 222分钟
2.4 - Sample Size18分钟
2.5 - Margin of Error18分钟
2.6 - Sample Size and Population Size16分钟
1 个阅读材料
Notice for Auditing Learners: Assignment Submission10分钟
1 个练习
Week 230分钟
3

3

完成时间为 4 小时

Saving money using cluster sampling

完成时间为 4 小时
10 个视频 (总计 168 分钟)
10 个视频
3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 219分钟
3.2 - Design Effects and Intraclass Correlation - Part 118分钟
3.2 - Design Effects and Intraclass Correlation - Part 215分钟
3.3 - Two-Stage Sampling16分钟
3.4 - Designing for Two-Stage Sampling - Part 115分钟
3.4 - Designing for Two-Stage Sampling - Part 28分钟
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 115分钟
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 210分钟
3.6 - Sampling Fraction20分钟
1 个练习
Week 330分钟
4

4

完成时间为 2 小时

Using auxiliary data to be more efficient

完成时间为 2 小时
6 个视频 (总计 81 分钟)
6 个视频
4.2 - Sampling Variance14分钟
4.3 - More On Grouping15分钟
4.4 - Allocate Sample8分钟
4.5 - Other Allocations19分钟
4.6 - Weights to Combine Across Strata5分钟
1 个练习
Week 430分钟

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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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