Über diesen Kurs
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Empfohlen: 4 weeks of study, 2-4 hours/weeks...

Englisch

Untertitel: Englisch

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Anfänger“

Ca. 12 Stunden zum Abschließen

Empfohlen: 4 weeks of study, 2-4 hours/weeks...

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
3 Stunden zum Abschließen

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.

...
12 Videos (Gesamt 134 min), 5 Lektüren, 1 Quiz
12 Videos
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 Lektüren
Module 1 Overview10m
Help us learn more about you!10m
Module 1 Required Readings10m
Module 1 Lecture Slides10m
Notice for Auditing Learners: Assignment Submission10m
1 praktische Übung
Module 1: Classic Modes of Data Collection20m
Woche
2
3 Stunden zum Abschließen

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.

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9 Videos (Gesamt 131 min), 3 Lektüren, 1 Quiz
9 Videos
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 Lektüren
Module 2 Overview10m
Module 2 Required Readings10m
Module 2 Lecture Slides10m
1 praktische Übung
Quiz Two24m
Woche
3
4 Stunden zum Abschließen

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.

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9 Videos (Gesamt 173 min), 3 Lektüren, 1 Quiz
9 Videos
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 Lektüren
Module 3 Overview10m
Module 3 Required Readings10m
Module 3 Lecture Slides10m
1 praktische Übung
Quiz Three20m
Woche
4
5 Stunden zum Abschließen

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.

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12 Videos (Gesamt 194 min), 4 Lektüren, 2 Quiz
12 Videos
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
4 Lektüren
Module 4 Overview10m
Module 4 Required Readings10m
Module 4 Lecture Slides10m
Post-course Survey10m
2 praktische Übungen
Module 4: Emerging modes, new data sources20m
Final Exam40m
4.5
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Top reviews from Data Collection: Online, Telephone and Face-to-face

von JMay 27th 2019

-\n\nthe difference between mobile survey and web survey\n\ndifference between online and face to face interviews\n\ndifference between telephone interviews and computer interviws

von SKJul 20th 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.

Dozent

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Frederick Conrad, Ph.D.

Research Professor, Survey Methodology
Institute for Social Research

Über 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....

Über die Spezialisierung 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....
Survey Data Collection and Analytics

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