This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys.
Este curso faz parte do Programa de cursos integrados Survey Data Collection and Analytics
Data Collection: Online, Telephone and Face-to-face
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Informações sobre o curso
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Resultados de carreira do aprendiz
50%
comecei uma nova carreira após concluir estes cursos
33%
consegui um benefício significativo de carreira com este curso
40%
recebi um aumento ou promoção
Resultados de carreira do aprendiz
50%
comecei uma nova carreira após concluir estes cursos
33%
consegui um benefício significativo de carreira com este curso
40%
recebi um aumento ou promoção
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível iniciante
Aprox. 15 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade de 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.
Programa - O que você aprenderá com este curso
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.
3 horas para concluir
12 vídeos (Total 134 mín.), 5 leituras, 1 teste
12 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
5 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
1 exercício prático
Module 1: Classic Modes of Data Collection20min
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.
3 horas para concluir
9 vídeos (Total 131 mín.), 3 leituras, 1 teste
9 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
3 leituras
Module 2 Overview10min
Module 2 Required Readings10min
Module 2 Lecture Slides10min
1 exercício prático
Quiz Two24min
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.
4 horas para concluir
9 vídeos (Total 173 mín.), 3 leituras, 1 teste
9 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
3 leituras
Module 3 Overview10min
Module 3 Required Readings10min
Module 3 Lecture Slides10min
1 exercício prático
Quiz Three20min
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.
5 horas para concluir
12 vídeos (Total 194 mín.), 4 leituras, 2 testes
12 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
4 leituras
Module 4 Overview10min
Module 4 Required Readings10min
Module 4 Lecture Slides10min
Post-course Survey10min
2 exercícios práticos
Module 4: Emerging modes, new data sources20min
Final Exam40min
Avaliações
Principais avaliações do DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE
por JMay 26, 2019
-\n\nthe difference between mobile survey and web survey\n\ndifference between online and face to face interviews\n\ndifference between telephone interviews and computer interviws
por SKJul 19, 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 EWMar 27, 2019
Very good summary of the advantages and disadvantages of different approaches to survey data collection, including some useful context about hybrid approaches.
por CPMar 28, 2017
The course material presents the traditional methods and latest developments in data collection for survey research. Excellent overall.
por MNAug 14, 2018
This course thought me exactly what i was expecting, the course lecturer is amazing and know exactly who make his student understand.
por EOJun 29, 2017
Enjoyed the course. I think it would be great if we could get the correct answers to questions we get wrong, even if it's an option.
por KCJan 18, 2017
This is an excellent and a very interesting course. I have found slides extremely helpful and the subject is well explaine
por NNApr 24, 2018
I liked the course, but I think it should be more focused on web based surveys, as it is the dominant mode- form.
por GSJun 20, 2016
Great ! Extremely intuitive ! A lot of state-of the art literature and bibliography. Excellent !
por SEOct 5, 2018
an other interesting Course amongst the series of Survey Data Collection and Analytics!
por NAAug 30, 2017
The course is very informative and relevant to my professional work.
por MWDec 28, 2019
Very useful material. however, could be presented more succinctly.
Sobre 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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