About this Course
4.1
274 ratings
68 reviews
Specialization
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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 8 hours to complete

Suggested: 4 weeks of study, 1-2 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Data CollectionData QualityData AnalysisData Generating Process
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 8 hours to complete

Suggested: 4 weeks of study, 1-2 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
3 hours to complete

Research Designs and Data Sources

The first course in the specialization provides an overview of the topics to come. This module walks you through the process of data collection and analysis. Starting with a research question and a review of existing data sources, we cover survey data collection techniques, highlight the importance of data curation, and discuss some basic features that can affect your data analysis when dealing with sample data. Issues of data access and resources for access are introduced in this module. ...
Reading
9 videos (Total 51 min), 5 readings, 1 quiz
Video9 videos
Types of Data9m
Examples of Found Data2m
Visualizing the Data Generation Process5m
Data Curation5m
Data Analysis5m
Access Issues3m
Access Resources3m
Summary58s
Reading5 readings
Course Overview10m
Readings and Resources List10m
Handouts10m
AAPOR (2015)40m
Couper (2013)30m
Quiz1 practice exercise
Quiz for Week 120m
Week
2
Hours to complete
2 hours to complete

Measurements and Analysis Plan

In this module we will emphasize the importance of having a well-specified research question and analysis plan. We will provide an overview over the various data collection strategies, a variety of available modes for data collection and some thinking on how to choose the right mode. ...
Reading
6 videos (Total 36 min), 2 readings, 1 quiz
Video6 videos
Planning on What You Want to Observe7m
Planning on How to Collect Data6m
New Modes4m
Web and Google6m
Choosing a Mode4m
Reading2 readings
Handouts10m
Jäckle et al. (2015)30m
Quiz1 practice exercise
Quiz for Week 220m
Week
3
Hours to complete
2 hours to complete

Quality Framework

In this module you will be introduced to a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also helps you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source....
Reading
8 videos (Total 49 min), 3 readings, 1 quiz
Video8 videos
Inference4m
Survey Life Cycle from a Design Perspective - Measurement4m
Survey Life Cycle from a Design Perspective - Representation5m
Survey Lifecycle from a Process Perspective1m
Survey Lifeycle from a Quality Perspective14m
Survey Lifecycle from a Quality Perspective (II) - Metrics4m
Survey Lifecycle from a Quality Perspective (III) - Coverage and Sampling8m
Reading3 readings
Handouts10m
Groves (2011)20m
Groves & Lyberg (2010)30m
Quiz1 practice exercise
Quiz for Week 320m
Week
4
Hours to complete
2 hours to complete

Application of TSE Framework to Existing Surveys

In this module we introduce a few surveys across a variety of topics. For each we highlight data collection features. The surveys span a variety of topics. We challenge you to think about alternative data sources that can be used to gather the same information or insights....
Reading
8 videos (Total 36 min), 2 readings, 1 quiz
Video8 videos
NSDUH3m
SCA3m
NAEP3m
BRFSS2m
CES3m
SHARE5m
ESS6m
Reading2 readings
Handouts10m
Davidov (2008)30m
Quiz1 practice exercise
Quiz for Week 420m
4.1
68 ReviewsChevron Right
Career direction

17%

started a new career after completing these courses
Career Benefit

30%

got a tangible career benefit from this course
Career promotion

11%

got a pay increase or promotion

Top Reviews

By MMMar 7th 2018

Very clear and organised structure\n\nClear examples to support learning objectives\n\nAttractive use of voice\n\nOne point for improvement: Do not film while the lecturer is still refinding breath

By KMOct 5th 2018

The teacher for the course was great. She explained everything very clearly. She also explained what is coming next. Learned a lot. Reading materials were overwhelming.

Instructors

Avatar

Frauke Kreuter, Ph.D.

Professor, Joint Program in Survey Methodology
Adjunct Research Professor, Institute for Social Research

Mariel Leonard

Lecturer
Joint Program in Survey Methodology

About University of Maryland, College Park

The University of Maryland is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 37,000 students, 9,000 faculty and staff, and 250 academic programs. Its faculty includes three Nobel laureates, three Pulitzer Prize winners, 47 members of the national academies and scores of Fulbright scholars. The institution has a $1.8 billion operating budget, secures $500 million annually in external research funding and recently completed a $1 billion fundraising campaign. ...

About the Survey Data Collection and Analytics Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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. If you only want to read and view the course content, you can audit the course for free.

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