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Niveau débutant
Approx. 15 heures pour terminer
Anglais
Sous-titres : Anglais

Résultats de carrière des étudiants

50%

ont commencé une nouvelle carrière après avoir terminé ce cours

33%

ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours

40%

a obtenu une augmentation de salaire ou une promotion
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
Approx. 15 heures pour terminer
Anglais
Sous-titres : Anglais

Offert par

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Université du Michigan

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1

Semaine 1

3 heures pour terminer

Module 1: Introduction, Classic Modes of Survey Data Collection

3 heures pour terminer
12 vidéos (Total 134 min), 5 lectures, 1 quiz
12 vidéos
1.2.1 Introduction to Survey Errors10 min
1.2.2 Variable Error and Bias10 min
1.2.3 Total Survey Error7 min
1.3.1 What do we mean by “mode?”16 min
1.3.2 Mode Choice (by respondent)12 min
1.4.1 Mixed Mode Design8 min
1.4.2 Concurrent Mixed Mode8 min
1.4.3 Sequential (Follow-up) Mixed Mode11 min
1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs15 min
1.5.1 Response Rates6 min
1.5.2 Nonresponse Error13 min
5 lectures
Module 1 Overview10 min
Help us learn more about you!10 min
Module 1 Required Readings10 min
Module 1 Lecture Slides10 min
Notice for Auditing Learners: Assignment Submission10 min
1 exercice pour s'entraîner
Module 1: Classic Modes of Data Collection20 min
Semaine
2

Semaine 2

3 heures pour terminer

Module 2: Self-administration, Online Data Collection

3 heures pour terminer
9 vidéos (Total 131 min), 3 lectures, 1 quiz
9 vidéos
2.1.2 ACASI continued8 min
2.2.1 Coverage17 min
2.2.2 Nonresponse9 min
2.2.3 Measurement21 min
2.3.1 Progress Indicators, Running Tallies10 min
2.3.2 Online Definitions6 min
2.3.3 Speeding Interventions10 min
2.4 Reg Baker (MRII) about web surveys in market research36 min
3 lectures
Module 2 Overview10 min
Module 2 Required Readings10 min
Module 2 Lecture Slides10 min
1 exercice pour s'entraîner
Quiz Two24 min
Semaine
3

Semaine 3

4 heures pour terminer

Module 3: Interviewers and Interviewing

4 heures pour terminer
9 vidéos (Total 173 min), 3 lectures, 1 quiz
9 vidéos
3.1.2 Respondent selection, Within Household Sampling14 min
3.1.3 Proxy Responding13 min
3.2.1 Standardization Debate: Wording vs. Meaning12 min
3.2.2 Different approaches to standardized interviewing14 min
3.2.3 Personal vs. Formal Style, I-R Rapport18 min
3.3.1 Variance: Interviewer Behavior25 min
3.3.2 Bias: Interviewers’ Fixed Attributes16 min
3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing40 min
3 lectures
Module 3 Overview10 min
Module 3 Required Readings10 min
Module 3 Lecture Slides10 min
1 exercice pour s'entraîner
Quiz Three20 min
Semaine
4

Semaine 4

5 heures pour terminer

Module 4: Emerging modes, new data sources

5 heures pour terminer
12 vidéos (Total 194 min), 4 lectures, 2 quiz
12 vidéos
4.1.2 Mobile Web Surveys19 min
4.1.3 Text Message Surveys11 min
4.1.4 Text vs. Voice Interviews15 min
4.2.1 Record linkage: statistical issues12 min
4.2.2 Record linkage: Techniques18 min
4.2.3 Record linkage: informed consent and ethical issues12 min
4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data17 min
4.3.2 Social media applications: Measuring Mood and Depression11 min
4.3.3 Social Media and Population Estimates: Successes7 min
4.3.4 Why does social media content align with surveys data sometimes and not other times?13 min
4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys37 min
4 lectures
Module 4 Overview10 min
Module 4 Required Readings10 min
Module 4 Lecture Slides10 min
Post-course Survey10 min
2 exercices pour s'entraîner
Module 4: Emerging modes, new data sources20 min
Final Exam40 min

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À propos du Spécialisation 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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