Informações sobre o curso
4.5
136 classificações
30 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 12 horas para completar

Sugerido: 4 weeks of study, 2-4 hours/weeks...
Idiomas disponíveis

Inglês

Legendas: Inglês...
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível iniciante

Nível iniciante

Horas para completar

Aprox. 12 horas para completar

Sugerido: 4 weeks of study, 2-4 hours/weeks...
Idiomas disponíveis

Inglês

Legendas: Inglês...

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
3 horas para concluir

Module 1: Introduction, Classic Modes of Survey Data Collection

In this lesson, you will be introduced to some key concepts about survey data collection methods that we will rely on throughout the course. By the end of this lesson, you should be well acquainted with the major sources of survey error and how these are affected -- usually in the form of tradeoffs -- by the particular mode used to administer questions and capture responses....
Reading
12 vídeos (Total de 134 min), 5 leituras, 1 teste
Video12 videos
1.2.1 Introduction to Survey Errors10min
1.2.2 Variable Error and Bias10min
1.2.3 Total Survey Error7min
1.3.1 What do we mean by “mode?”16min
1.3.2 Mode Choice (by respondent)12min
1.4.1 Mixed Mode Design8min
1.4.2 Concurrent Mixed Mode8min
1.4.3 Sequential (Follow-up) Mixed Mode11min
1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs15min
1.5.1 Response Rates6min
1.5.2 Nonresponse Error13min
Reading5 leituras
Module 1 Overview10min
Help us learn more about you!10min
Module 1 Required Readings10min
Module 1 Lecture Slides10min
Notice for Auditing Learners: Assignment Submission10min
Quiz1 exercício prático
Module 1: Classic Modes of Data Collection20min
Semana
2
Horas para completar
3 horas para concluir

Module 2: Self-administration, Online Data Collection

This second lesson focuses on modes in which survey respondents self-administer questions and provide their responses directly to researchers. By the end of Lesson 2, you will understand the pros and cons of self-administered modes from the TSE perspective....
Reading
9 vídeos (Total de 131 min), 3 leituras, 1 teste
Video9 videos
2.1.2 ACASI continued8min
2.2.1 Coverage17min
2.2.2 Nonresponse9min
2.2.3 Measurement21min
2.3.1 Progress Indicators, Running Tallies10min
2.3.2 Online Definitions6min
2.3.3 Speeding Interventions10min
2.4 Reg Baker (MRII) about web surveys in market research36min
Reading3 leituras
Module 2 Overview10min
Module 2 Required Readings10min
Module 2 Lecture Slides10min
Quiz1 exercício prático
Quiz Two24min
Semana
3
Horas para completar
4 horas para concluir

Module 3: Interviewers and Interviewing

In this lesson, we explore the various roles interviewers take on beside asking questions and collecting answers, as well as some of the different approaches to interviewing that have been proposed and how they affect the accuracy of responses. By the end of Lesson 3, you will appreciate the benefits and costs of collecting data in interviews and will be able to contrast them with the costs and benefits of self-administration. ...
Reading
9 vídeos (Total de 173 min), 3 leituras, 1 teste
Video9 videos
3.1.2 Respondent selection, Within Household Sampling14min
3.1.3 Proxy Responding13min
3.2.1 Standardization Debate: Wording vs. Meaning12min
3.2.2 Different approaches to standardized interviewing14min
3.2.3 Personal vs. Formal Style, I-R Rapport18min
3.3.1 Variance: Interviewer Behavior25min
3.3.2 Bias: Interviewers’ Fixed Attributes16min
3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing40min
Reading3 leituras
Module 3 Overview10min
Module 3 Required Readings10min
Module 3 Lecture Slides10min
Quiz1 exercício prático
Quiz Three20min
Semana
4
Horas para completar
5 horas para concluir

Module 4: Emerging modes, new data sources

In this lesson, we focus on some new data collection modes such as mobile web surveys and SMS text interviews, as well as alternative data sources such as sensor data, administrative data, and social media. By the end of this lesson, you will have a sense of the issues to which survey methodologists and survey researchers are devoting much of their attention these days. You will be able to weigh the pros and cons of these new methods and data sources. ...
Reading
12 vídeos (Total de 194 min), 4 leituras, 2 testes
Video12 videos
4.1.2 Mobile Web Surveys19min
4.1.3 Text Message Surveys11min
4.1.4 Text vs. Voice Interviews15min
4.2.1 Record linkage: statistical issues12min
4.2.2 Record linkage: Techniques18min
4.2.3 Record linkage: informed consent and ethical issues12min
4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data17min
4.3.2 Social media applications: Measuring Mood and Depression11min
4.3.3 Social Media and Population Estimates: Successes7min
4.3.4 Why does social media content align with surveys data sometimes and not other times?13min
4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys37min
Reading4 leituras
Module 4 Overview10min
Module 4 Required Readings10min
Module 4 Lecture Slides10min
Post-course Survey10min
Quiz2 exercícios práticos
Module 4: Emerging modes, new data sources20min
Final Exam40min
4.5
30 avaliaçõesChevron Right
Benefício de carreira

83%

consegui um benefício significativo de carreira com este curso
Promoção de carreira

50%

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Melhores avaliações

por SKJul 20th 2016

There is one word for this Course "Amazing". No matter if you are a undergrad student or a seasoned researcher, you'll feel that you have learned a lot from this course.

por CPMar 29th 2017

The course material presents the traditional methods and latest developments in data collection for survey research. Excellent overall.

Instrutores

Avatar

Frederick Conrad, Ph.D.

Research Professor, Survey Methodology
Institute for Social Research

Sobre 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....

Sobre o Programa de cursos integrados 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

Perguntas Frequentes – FAQ

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