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1

## Module 1: Sampling as a research tool

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
How to get your questions answered by the instructor in the discussion forums!10分鐘
2

## Mere randomization

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

## Saving money using cluster sampling

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

## Using auxiliary data to be more efficient

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

## 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....

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