Acerca de este Curso
4.6
37 calificaciones
13 revisiones
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....
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Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Beginner Level

Nivel principiante

Clock

Approx. 26 hours to complete

Sugerido: 5 hours/week...
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English

Subtítulos: English...
Globe

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Calendar

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Beginner Level

Nivel principiante

Clock

Approx. 26 hours to complete

Sugerido: 5 hours/week...
Comment Dots

English

Subtítulos: English...

Programa - Qué aprenderás en este curso

Week
1
Clock
3 horas para completar

Module 1: Sampling as a research tool

...
Reading
10 videos (Total: 145 min), 2 readings
Video10 videos
1.1 - Research Design and Sampling - Part 119m
1.1 - Research Design and Sampling - Part 216m
1.2 - Surveys and Sampling12m
1.3 - Why Sample At All? - Part 116m
1.3 - Why Sample At All? - Part 210m
1.4 - Why Might We Randomize, and How Might We Do It?15m
1.5 - What Happens When We Randomize?14m
1.6 - How Do We Evaluate How Good a Sample Is?13m
1.7 - What Kinds of Things Can We Sample?9m
Reading2 lecturas
Help us learn more about you!10m
How to get your questions answered by the instructor in the discussion forums!10m
Week
2
Clock
5 horas para completar

Mere randomization

...
Reading
7 videos (Total: 121 min), 1 reading, 2 quizzes
Video7 videos
2.2 - Mere Randomization: A Short History17m
2.3 - The SRS Sampling Distribution - Part 19m
2.3 - The SRS Sampling Distribution - Part 222m
2.4 - Sample Size18m
2.5 - Margin of Error18m
2.6 - Sample Size and Population Size16m
Reading1 lectura
Notice for Auditing Learners: Assignment Submission10m
Quiz1 ejercicio de práctica
Week 220m
Week
3
Clock
5 horas para completar

Saving money using cluster sampling

...
Reading
10 videos (Total: 168 min), 2 quizzes
Video10 videos
3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 219m
3.2 - Design Effects and Intraclass Correlation - Part 118m
3.2 - Design Effects and Intraclass Correlation - Part 215m
3.3 - Two-Stage Sampling16m
3.4 - Designing for Two-Stage Sampling - Part 115m
3.4 - Designing for Two-Stage Sampling - Part 28m
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 115m
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 210m
3.6 - Sampling Fraction20m
Quiz1 ejercicio de práctica
Week 312m
Week
4
Clock
2 horas para completar

Using auxiliary data to be more efficient

...
Reading
6 videos (Total: 81 min), 1 quiz
Video6 videos
4.2 - Sampling Variance14m
4.3 - More On Grouping15m
4.4 - Allocate Sample8m
4.5 - Other Allocations19m
4.6 - Weights to Combine Across Strata5m
Quiz1 ejercicio de práctica
Week 412m
4.6

Principales revisiones

por 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.

por SSNov 12th 2017

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

Instructor

James M Lepkowski

Research Professor
Survey Research Center, Institute for Social Research

Acerca de 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....

Acerca del programa especializado Survey Data Collection and Analytics

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

Preguntas Frecuentes

  • 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.

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