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 forma parte de Programa especializado: Survey Data Collection and Analytics
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Programa especializado: Survey Data Collection and Analytics Universidad de MíchiganAcerca de este Curso
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Curso 2 de 7 en
Nivel principiante
Aprox. 21 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
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Prueba Coursera para negociosFechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 7 en
Nivel principiante
Aprox. 21 horas para completar
Inglés (English)
Subtítulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Universidad de Míchigan
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 - Qué aprenderás en este curso
4 horas para completar
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 horas para completar
12 videos (Total 134 minutos), 5 lecturas, 1 cuestionario
5 horas para completar
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 horas para completar
9 videos (Total 131 minutos), 3 lecturas, 1 cuestionario
6 horas para completar
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 horas para completar
9 videos (Total 173 minutos), 3 lecturas, 1 cuestionario
7 horas para completar
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 horas para completar
12 videos (Total 194 minutos), 5 lecturas, 2 cuestionarios
Reseñas
- 5 stars71,98 %
- 4 stars21,49 %
- 3 stars5,21 %
- 2 stars0,32 %
- 1 star0,97 %
Principales reseñas sobre DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE
por SK19 de jul. de 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 UA24 de ene. de 2021
Informative, evidence-based, relevant, and practical.
por BB10 de jun. de 2022
Professor Conrad is knowledgeable and easy to understand. I enjoyed the inteviews as well.
por GS20 de jun. de 2016
Great ! Extremely intuitive ! A lot of state-of the art literature and bibliography. Excellent !
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.
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