When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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

Ends tomorrow! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

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

This course is part of Survey Data Collection and Analytics Specialization

Instructor: Frederick Conrad, Ph.D.

16,830 already enrolled

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

353 reviews

Beginner level

No prior experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

97%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

353 reviews

Beginner level

No prior experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

97%

Most learners liked this course

What you'll learn

Appricate and compare the pros and cons of self-administered modes and interviews
Explore the emerging modes and data sources such as mobile web surveys and social media data
Understand the key concepts about survey data collection methods

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Survey Data Collection and Analytics Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

Module details

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.

What's included

12 videos5 readings1 assignment1 discussion prompt

12 videosTotal 134 minutes

1.1 What this course is … and is not11 minutes
1.2.1 Introduction to Survey Errors10 minutes
1.2.2 Variable Error and Bias10 minutes
1.2.3 Total Survey Error8 minutes
1.3.1 What do we mean by “mode?”17 minutes
1.3.2 Mode Choice (by respondent)13 minutes
1.4.1 Mixed Mode Design8 minutes
1.4.2 Concurrent Mixed Mode9 minutes
1.4.3 Sequential (Follow-up) Mixed Mode12 minutes
1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs16 minutes
1.5.1 Response Rates7 minutes
1.5.2 Nonresponse Error13 minutes

5 readingsTotal 77 minutes

Module 1 Overview2 minutes
Help us learn more about you!10 minutes
Module 1 Required Readings62 minutes
Module 1 Lecture Slides2 minutes
Notice for Auditing Learners: Assignment Submission1 minute

1 assignmentTotal 30 minutes

Module 1: Classic Modes of Data Collection30 minutes

1 discussion promptTotal 10 minutes

Survey Error10 minutes

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.

What's included

9 videos3 readings1 assignment1 discussion prompt

9 videosTotal 131 minutes

2.1.1 Modes (interviewer- and self-administered), CASI, ACASI11 minutes
2.1.2 ACASI continued9 minutes
2.2.1 Coverage17 minutes
2.2.2 Nonresponse9 minutes
2.2.3 Measurement21 minutes
2.3.1 Progress Indicators, Running Tallies11 minutes
2.3.2 Online Definitions6 minutes
2.3.3 Speeding Interventions11 minutes
2.4 Reg Baker (MRII) about web surveys in market research37 minutes

3 readingsTotal 112 minutes

Module 2 Overview2 minutes
Module 2 Required Readings105 minutes
Module 2 Lecture Slides5 minutes

1 assignmentTotal 30 minutes

Quiz Two30 minutes

1 discussion promptTotal 10 minutes

Modes10 minutes

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.

What's included

9 videos3 readings1 assignment1 discussion prompt

9 videosTotal 173 minutes

3.1.1 Interviewer Roles, Obtaining Interviews19 minutes
3.1.2 Respondent selection, Within Household Sampling14 minutes
3.1.3 Proxy Responding14 minutes
3.2.1 Standardization Debate: Wording vs. Meaning12 minutes
3.2.2 Different approaches to standardized interviewing14 minutes
3.2.3 Personal vs. Formal Style, I-R Rapport18 minutes
3.3.1 Variance: Interviewer Behavior25 minutes
3.3.2 Bias: Interviewers’ Fixed Attributes17 minutes
3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing40 minutes

3 readingsTotal 135 minutes

Module 3 Overview2 minutes
Module 3 Required Readings130 minutes
Module 3 Lecture Slides3 minutes

1 assignmentTotal 30 minutes

Quiz Three30 minutes

1 discussion promptTotal 10 minutes

Standardization Debate10 minutes

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.

What's included

12 videos5 readings2 assignments1 discussion prompt

12 videosTotal 194 minutes

4.1.1 New Modes, New Data16 minutes
4.1.2 Mobile Web Surveys20 minutes
4.1.3 Text Message Surveys11 minutes
4.1.4 Text vs. Voice Interviews16 minutes
4.2.1 Record linkage: statistical issues12 minutes
4.2.2 Record linkage: Techniques19 minutes
4.2.3 Record linkage: informed consent and ethical issues13 minutes
4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data18 minutes
4.3.2 Social media applications: Measuring Mood and Depression12 minutes
4.3.3 Social Media and Population Estimates: Successes8 minutes
4.3.4 Why does social media content align with surveys data sometimes and not other times?13 minutes
4.4 Interview with Aigul Mavletova (National Research University Higher School of Economics, Mosow) on mobile web surveys37 minutes