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    University of Michigan
    Data Collection: Online, Telephone and Face-to-face
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    1. Browse
    2. Health
    3. Psychology
    University of Michigan

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

    This course is part of Survey Data Collection and Analytics Specialization

    Frederick Conrad, Ph.D.

    Instructor: Frederick Conrad, Ph.D.

    15,218 already enrolled

    Included with Coursera Plus

    •Learn more
    4 modules
    Gain insight into a topic and learn the fundamentals.
    4.6

    (345 reviews)

    Beginner level
    No prior experience required
    Flexible schedule
    Approx. 21 hours
    Learn at your own pace
    97%
    Most learners liked this course

    4 modules
    Gain insight into a topic and learn the fundamentals.
    4.6

    (345 reviews)

    Beginner level
    No prior experience required
    Flexible schedule
    Approx. 21 hours
    Learn at your own pace
    97%
    Most learners liked this course
    • About
    • Outcomes
    • Modules
    • Recommendations
    • Testimonials
    • Reviews

    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

    • Qualitative Research
    • Data Capture
    • Sampling (Statistics)
    • Research Methodologies
    • Data Validation
    • Surveys
    • Unstructured Data
    • Data Collection
    • Interviewing Skills
    • Data Quality

    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
    When you enroll in this course, you'll also be enrolled in this 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 133 minutes
    • 1.1 What this course is … and is not•11 minutes•Preview module
    • 1.2.1 Introduction to Survey Errors•10 minutes
    • 1.2.2 Variable Error and Bias•10 minutes
    • 1.2.3 Total Survey Error•7 minutes
    • 1.3.1 What do we mean by “mode?”•16 minutes
    • 1.3.2 Mode Choice (by respondent)•12 minutes
    • 1.4.1 Mixed Mode Design•8 minutes
    • 1.4.2 Concurrent Mixed Mode•8 minutes
    • 1.4.3 Sequential (Follow-up) Mixed Mode•11 minutes
    • 1.4.4 Interview with David Weir (U. Michigan) on Mixed Mode Designs•15 minutes
    • 1.5.1 Response Rates•6 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•10 minutes•Preview module
    • 2.1.2 ACASI continued•8 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•10 minutes
    • 2.3.2 Online Definitions•6 minutes
    • 2.3.3 Speeding Interventions•10 minutes
    • 2.4 Reg Baker (MRII) about web surveys in market research•36 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•18 minutes•Preview module
    • 3.1.2 Respondent selection, Within Household Sampling•14 minutes
    • 3.1.3 Proxy Responding•13 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•16 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•15 minutes•Preview module
    • 4.1.2 Mobile Web Surveys•19 minutes
    • 4.1.3 Text Message Surveys•11 minutes
    • 4.1.4 Text vs. Voice Interviews•15 minutes
    • 4.2.1 Record linkage: statistical issues•12 minutes
    • 4.2.2 Record linkage: Techniques•18 minutes
    • 4.2.3 Record linkage: informed consent and ethical issues•12 minutes
    • 4.3.1 Uses of Big Data, Sensing Technology, Social Media Content as Data•17 minutes
    • 4.3.2 Social media applications: Measuring Mood and Depression•11 minutes
    • 4.3.3 Social Media and Population Estimates: Successes•7 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

    Instructor

    Instructor ratings

    Instructor ratings

    We asked all learners to give feedback on our instructors based on the quality of their teaching style.

    4.7 (40 ratings)
    Frederick Conrad, Ph.D.
    Frederick Conrad, Ph.D.
    University of Michigan
    4 Courses•47,370 learners

    Offered by

    University of Michigan

    Offered by

    University of 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.

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    Showing 3 of 345

    E
    EW
    5

    Reviewed on Mar 28, 2019

    Very good summary of the advantages and disadvantages of different approaches to survey data collection, including some useful context about hybrid approaches.

    S
    SC
    5

    Reviewed on Oct 5, 2022

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

    G
    GS
    5

    Reviewed on Jun 21, 2016

    Great ! Extremely intuitive ! A lot of state-of the art literature and bibliography. Excellent !

    View more reviews

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