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

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

This course is part of Survey Data Collection and Analytics Specialization

Instructor: Frederick Conrad, Ph.D.

Access provided by NIH/NIMH

16,445 already enrolled

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

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Assessments

5 assignments

Taught in English

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

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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.

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 videos Total 134 minutes

1.1 What this course is … and is not 11 minutes
1.2.1 Introduction to Survey Errors 10 minutes
1.2.2 Variable Error and Bias 10 minutes
1.2.3 Total Survey Error 8 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 Design 8 minutes
1.4.2 Concurrent Mixed Mode 9 minutes
1.4.3 Sequential (Follow-up) Mixed Mode 12 minutes
1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs 16 minutes
1.5.1 Response Rates 7 minutes
1.5.2 Nonresponse Error 13 minutes

5 readings Total 77 minutes

Module 1 Overview 2 minutes
Help us learn more about you! 10 minutes
Module 1 Required Readings 62 minutes
Module 1 Lecture Slides 2 minutes
Notice for Auditing Learners: Assignment Submission 1 minute

1 assignment Total 30 minutes

Module 1: Classic Modes of Data Collection 30 minutes

1 discussion prompt Total 10 minutes

Survey Error 10 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 videos Total 131 minutes

2.1.1 Modes (interviewer- and self-administered), CASI, ACASI 11 minutes
2.1.2 ACASI continued 9 minutes
2.2.1 Coverage 17 minutes
2.2.2 Nonresponse 9 minutes
2.2.3 Measurement 21 minutes
2.3.1 Progress Indicators, Running Tallies 11 minutes
2.3.2 Online Definitions 6 minutes
2.3.3 Speeding Interventions 11 minutes
2.4 Reg Baker (MRII) about web surveys in market research 37 minutes

3 readings Total 112 minutes

Module 2 Overview 2 minutes
Module 2 Required Readings 105 minutes
Module 2 Lecture Slides 5 minutes

1 assignment Total 30 minutes

Quiz Two 30 minutes

1 discussion prompt Total 10 minutes

Modes 10 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 videos Total 173 minutes

3.1.1 Interviewer Roles, Obtaining Interviews 19 minutes
3.1.2 Respondent selection, Within Household Sampling 14 minutes
3.1.3 Proxy Responding 14 minutes
3.2.1 Standardization Debate: Wording vs. Meaning 12 minutes
3.2.2 Different approaches to standardized interviewing 14 minutes
3.2.3 Personal vs. Formal Style, I-R Rapport 18 minutes
3.3.1 Variance: Interviewer Behavior 25 minutes
3.3.2 Bias: Interviewers’ Fixed Attributes 17 minutes
3.4 Interview with Nora Cate Schaeffer (UW) about recruitment and interviewing 40 minutes

3 readings Total 135 minutes

Module 3 Overview 2 minutes
Module 3 Required Readings 130 minutes
Module 3 Lecture Slides 3 minutes

1 assignment Total 30 minutes

Quiz Three 30 minutes

1 discussion prompt Total 10 minutes

Standardization Debate 10 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 videos Total 194 minutes

4.1.1 New Modes, New Data 16 minutes
4.1.2 Mobile Web Surveys 20 minutes
4.1.3 Text Message Surveys 11 minutes
4.1.4 Text vs. Voice Interviews 16 minutes
4.2.1 Record linkage: statistical issues 12 minutes
4.2.2 Record linkage: Techniques 19 minutes
4.2.3 Record linkage: informed consent and ethical issues 13 minutes
4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data 18 minutes
4.3.2 Social media applications: Measuring Mood and Depression 12 minutes
4.3.3 Social Media and Population Estimates: Successes 8 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 surveys 37 minutes

5 readings Total 131 minutes

Module 4 Overview 2 minutes
Module 4 Required Readings 105 minutes
Module 4 Lecture Slides 4 minutes
Post-course Survey 10 minutes
Keep Learning with Michigan Online 10 minutes

2 assignments Total 60 minutes

Module 4: Emerging modes, new data sources 30 minutes
Final Exam 30 minutes

1 discussion prompt Total 10 minutes

Social Media and Survey Methods 10 minutes

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Instructor

Instructor ratings

(42 ratings)

Frederick Conrad, Ph.D.

University of Michigan

4 Courses 49,585 learners

Offered by

University of Michigan

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Reviewed on Jul 19, 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.

Reviewed on Nov 6, 2018

Very well thought of and extremly well designed course

Reviewed on Aug 13, 2016

Very nice course, with lots of insights about survey data collection and the issues related with getting right data for right inferences.

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