Acerca de este Curso

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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 18 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 18 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

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Universidad de Míchigan

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

3 horas para completar

Module 1: Sampling as a research tool

3 horas para completar
10 videos (Total 145 minutos), 2 lecturas
10 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
2 lecturas
Help us learn more about you!10m
How to get your questions answered by the instructor in the discussion forums!10m
Semana
2

Semana 2

4 horas para completar

Mere randomization

4 horas para completar
7 videos (Total 121 minutos), 1 lectura, 2 cuestionarios
7 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
1 lectura
Notice for Auditing Learners: Assignment Submission10m
1 ejercicio de práctica
Week 230m
Semana
3

Semana 3

4 horas para completar

Saving money using cluster sampling

4 horas para completar
10 videos (Total 168 minutos)
10 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
1 ejercicio de práctica
Week 330m
Semana
4

Semana 4

2 horas para completar

Using auxiliary data to be more efficient

2 horas para completar
6 videos (Total 81 minutos)
6 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
1 ejercicio de práctica
Week 430m

Reseñas

Principales reseñas sobre SAMPLING PEOPLE, NETWORKS AND RECORDS

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Acerca de 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

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