課程信息
4.6
37 個評分
13 個審閱
Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done. Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors. Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control. It is these last kinds of samples that will be discussed in this course. We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples. The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling....
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Beginner Level

初級

Clock

Approx. 26 hours to complete

建議:5 hours/week...
Comment Dots

English

字幕:English...
Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Beginner Level

初級

Clock

Approx. 26 hours to complete

建議:5 hours/week...
Comment Dots

English

字幕:English...

教學大綱 - 您將從這門課程中學到什麼

Week
1
Clock
完成時間為 3 小時

Module 1: Sampling as a research tool

...
Reading
10 個視頻(共 145 分鐘), 2 個閱讀材料
Video10 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
Reading2 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
Week
2
Clock
完成時間為 5 小時

Mere randomization

...
Reading
7 個視頻(共 121 分鐘), 1 個閱讀材料, 2 個測驗
Video7 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
Reading1 個閱讀材料
Notice for Auditing Learners: Assignment Submission10分鐘
Quiz1 個練習
Week 220分鐘
Week
3
Clock
完成時間為 5 小時

Saving money using cluster sampling

...
Reading
10 個視頻(共 168 分鐘), 2 個測驗
Video10 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
Quiz1 個練習
Week 312分鐘
Week
4
Clock
完成時間為 2 小時

Using auxiliary data to be more efficient

...
Reading
6 個視頻(共 81 分鐘), 1 個測驗
Video6 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
Quiz1 個練習
Week 412分鐘
4.6

熱門審閱

創建者 MMMay 28th 2017

the most comprehensive course about sampling undoubtedly. Try to take quizzes as well in order to get the most of the course and materials.

創建者 SSNov 12th 2017

Excellent tutor. Easy to follow and useful coursework. Thanks!

講師

James M Lepkowski

Research Professor
Survey Research Center, Institute for Social Research

關於 University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

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

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

還有其他問題嗎?請訪問 學生幫助中心