Este curso forma parte de Programa especializado: Survey Data Collection and Analytics

4.6
estrellas
312 calificaciones

96 %

Frederick Conrad, Ph.D.

12.311 ya inscrito

Ofrecido Por

Programa especializado: Survey Data Collection and Analytics Universidad de Míchigan

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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.
The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys). Mixed mode designs are also covered as well as several hybrid modes for collecting sensitive information e.g., self-administering the sensitive questions in what is otherwise a face-to-face interview. The course also covers newer methods such as mobile web and SMS (text message) interviews, and examines alternative data sources such as social media. It concentrates on the impact these techniques have on the quality of survey data, including error from measurement, nonresponse, and coverage, and assesses the tradeoffs between these error sources when researchers choose a mode or survey design.

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Curso 2 de 7 en

Programa especializado: Survey Data Collection and Analytics

Nivel principiante

Aprox. 21 horas para completar

Inglés (English)

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Fechas 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

Programa especializado: Survey Data Collection and Analytics

Nivel principiante

Aprox. 21 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructor

Calificación del instructor

4,67/5 (36 calificaciones)

Frederick Conrad, Ph.D.

Research Professor, Survey Methodology

Institute for Social Research

40.290 alumnos

4 cursos

Ofrecido por

Universidad de Míchigan

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Programa - Qué aprenderás en este curso

Calificación del contenido96%(1,243 calificaciones)

Semana

Semana 1

4 horas para completar

Module 1: Introduction, Classic Modes of Survey Data Collection

4 horas para completar

12 videos (Total 134 minutos), 5 lecturas, 1 cuestionario

12 videos

1.1 What this course is … and is not11m

1.2.1 Introduction to Survey Errors10m

1.2.2 Variable Error and Bias10m

1.2.3 Total Survey Error7m

1.3.1 What do we mean by “mode?”16m

1.3.2 Mode Choice (by respondent)12m

1.4.1 Mixed Mode Design8m

1.4.2 Concurrent Mixed Mode8m

1.4.3 Sequential (Follow-up) Mixed Mode11m

1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs15m

1.5.1 Response Rates6m

1.5.2 Nonresponse Error13m

5 lecturas

Module 1 Overview2m

Help us learn more about you!10m

Module 1 Required Readings1h 2m

Module 1 Lecture Slides2m

Notice for Auditing Learners: Assignment Submission1m

1 ejercicio de práctica

Module 1: Classic Modes of Data Collection30m

Semana

Semana 2

5 horas para completar

Module 2: Self-administration, Online Data Collection

5 horas para completar

9 videos (Total 131 minutos), 3 lecturas, 1 cuestionario

9 videos

2.1.1 Modes (interviewer- and self-administered), CASI, ACASI10m

2.1.2 ACASI continued8m

2.2.1 Coverage17m

2.2.2 Nonresponse9m

2.2.3 Measurement21m

2.3.1 Progress Indicators, Running Tallies10m

2.3.2 Online Definitions6m

2.3.3 Speeding Interventions10m

2.4 Reg Baker (MRII) about web surveys in market research36m

3 lecturas

Module 2 Overview2m

Module 2 Required Readings1h 45m

Module 2 Lecture Slides5m

1 ejercicio de práctica

Quiz Two30m

Semana

Semana 3

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

9 videos

3.1.1 Interviewer Roles, Obtaining Interviews18m

3.1.2 Respondent selection, Within Household Sampling14m

3.1.3 Proxy Responding13m

3.2.1 Standardization Debate: Wording vs. Meaning12m

3.2.2 Different approaches to standardized interviewing14m

3.2.3 Personal vs. Formal Style, I-R Rapport18m

3.3.1 Variance: Interviewer Behavior25m

3.3.2 Bias: Interviewers’ Fixed Attributes16m

3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing40m

3 lecturas

Module 3 Overview2m

Module 3 Required Readings2h 10m

Module 3 Lecture Slides3m

1 ejercicio de práctica

Quiz Three30m

Semana

Semana 4

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

12 videos

4.1.1 New Modes, New Data15m

4.1.2 Mobile Web Surveys19m

4.1.3 Text Message Surveys11m

4.1.4 Text vs. Voice Interviews15m

4.2.1 Record linkage: statistical issues12m

4.2.2 Record linkage: Techniques18m

4.2.3 Record linkage: informed consent and ethical issues12m

4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data17m

4.3.2 Social media applications: Measuring Mood and Depression11m

4.3.3 Social Media and Population Estimates: Successes7m

4.3.4 Why does social media content align with surveys data sometimes and not other times?13m

4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys37m

5 lecturas

Module 4 Overview2m

Module 4 Required Readings1h 45m

Module 4 Lecture Slides4m

Post-course Survey10m

Keep Learning with Michigan Online10m

2 ejercicios de práctica

Module 4: Emerging modes, new data sources30m

Final Exam30m

Reseñas

4.6

62 reseña

5 stars
72,11 %
4 stars
21,47 %
3 stars
5,12 %
2 stars
0,32 %
1 star
0,96 %

Principales reseñas sobre DATA COLLECTION: ONLINE, TELEPHONE AND FACE-TO-FACE

por SC4 de oct. de 2022

Overall, nicely designed course with material made as interesting as it could be made. Better slides/more engaging videos could me a space for improvement.

por MW28 de dic. de 2019

Very useful material. however, could be presented more succinctly.

por RR12 de abr. de 2020

It's very lengthy but complete knowledge about different types of interview methods. Thanks a lot!

por EA14 de sep. de 2020

The lecturers were very knowledgeable about the various topics and made learning very easy

Ver todas las reseñas

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.

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.

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Data Collection: Online, Telephone and Face-to-face

Acerca de este Curso