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.
Ce cours fait partie de la Spécialisation Survey Data Collection and Analytics
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Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 7 dans le
Niveau débutant
Approx. 21 heures pour terminer
Anglais
Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Offert par
Université du 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.
Programme de cours : ce que vous apprendrez dans ce cours
4 heures pour terminer
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.
4 heures pour terminer
12 vidéos (Total 134 min), 5 lectures, 1 quiz
5 heures pour terminer
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.
5 heures pour terminer
9 vidéos (Total 131 min), 3 lectures, 1 quiz
6 heures pour terminer
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.
6 heures pour terminer
9 vidéos (Total 173 min), 3 lectures, 1 quiz
7 heures pour terminer
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.
7 heures pour terminer
12 vidéos (Total 194 min), 5 lectures, 2 quiz
Avis
- 5 stars71,89 %
- 4 stars21,56 %
- 3 stars5,22 %
- 2 stars0,32 %
- 1 star0,98 %
Meilleurs avis pour DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE
par SE5 oct. 2018
an other interesting Course amongst the series of Survey Data Collection and Analytics!
par RR12 avr. 2020
It's very lengthy but complete knowledge about different types of interview methods. Thanks a lot!
par NN24 avr. 2018
I liked the course, but I think it should be more focused on web based surveys, as it is the dominant mode- form.
par B27 nov. 2020
interesting topic to know about how to manipulate data
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.
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