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Framework for Data Collection and Analysis
  • Level Professional
  • Duration 10 hours
  • Course by University of Maryland, College Park
  • Offered by

About

This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help 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. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.

Modules

Research Question Design

    • 1 Videos
    • 2 Readings
    • 1 Discussion
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1 Discussions

  • Discussion Prompt: Your own experience

1 Videos

  • Research Question Design

2 Readings

  • Course Overview
  • Readings and Resources List

Data Generating Process

    • 3 Videos
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3 Videos

  • Types of Data
  • Examples of Found Data
  • Visualizing the Data Generation Process

Data Curation and Data Analysis

    • 2 Videos
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2 Videos

  • Data Curation
  • Data Analysis

Data Access

    • 3 Videos
    • 1 Discussion
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1 Discussions

  • Discussion Prompt: Privacy

3 Videos

  • Access Issues
  • Access Resources
  • Summary

Module 1 - Handouts, Readings, Quiz

    • 3 Readings
    • 1 Assignment
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1 Assignment

  • Quiz for Week 1

3 Readings

  • Handouts
  • AAPOR (2015)
  • Couper (2013)

Inductive Reasoning

    • 1 Videos
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1 Videos

  • Issues with Inductive Reasoning

Analysis Plan

    • 1 Videos
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1 Videos

  • Planning on What You Want to Observe

Mode of Data Collection

    • 4 Videos
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4 Videos

  • Planning on How to Collect Data
  • New Modes
  • Web and Google
  • Choosing a Mode

Module 2 - Handouts, Readings, Quiz

    • 2 Readings
    • 1 Assignment
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1 Assignment

  • Quiz for Week 2

2 Readings

  • Handouts
  • Jäckle et al. (2015)

Surveys and Survey Inference

    • 2 Videos
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2 Videos

  • Quality of Data
  • Inference

Total Survey Error Framework

    • 3 Videos
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3 Videos

  • Survey Life Cycle from a Design Perspective - Measurement
  • Survey Life Cycle from a Design Perspective - Representation
  • Survey Lifecycle from a Process Perspective

How to Quantify Error

    • 3 Videos
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3 Videos

  • Survey Lifeycle from a Quality Perspective
  • Survey Lifecycle from a Quality Perspective (II) - Metrics
  • Survey Lifecycle from a Quality Perspective (III) - Coverage and Sampling

Module 3 - Handouts, Readings, Quiz

    • 3 Readings
    • 1 Assignment
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1 Assignment

  • Quiz for Week 3

3 Readings

  • Handouts
  • Groves (2011)
  • Groves & Lyberg (2010)

Example Surveys in the U.S.

    • 6 Videos
    • 1 Discussion
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1 Discussions

  • Discussion Prompt: Alternative Data Sources

6 Videos

  • NCVS
  • NSDUH
  • SCA
  • NAEP
  • BRFSS
  • CES

Cross-Cultural Surveys

    • 2 Videos
    • 1 Discussion
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1 Discussions

  • Discussion prompt: In your country

2 Videos

  • SHARE
  • ESS

Module 4 Material - Handouts, Readings, Quiz

    • 2 Readings
    • 1 Assignment
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1 Assignment

  • Quiz for Week 4

2 Readings

  • Handouts
  • Davidov (2008)

Auto Summary

Embark on a comprehensive journey into the world of data with the "Framework for Data Collection and Analysis" course, offered by Coursera. This professional-level course delves into the domain of Big Data and Analytics, providing a robust understanding of the data collection landscape and existing data products. Guided by experienced instructors, this course equips you with the skills to identify the most suitable data sources for your research questions and to develop actionable and measurable research plans. You will explore various examples, learn to anticipate and quantify potential errors, and evaluate the quality of data sources using specific metrics. The curriculum also introduces large-scale data collection efforts from private industries and government agencies, reinforcing concepts through practical examples. Suitable for both beginners and those familiar with specific data sources, this course offers a valuable framework for evaluating diverse data products. With a duration of approximately 600 minutes, learners can subscribe under the Starter plan to gain access. This course is ideal for professionals seeking to enhance their data collection and analysis capabilities, ensuring they are well-equipped to navigate the intricate world of big data.

Frauke Kreuter, Ph.D.
Instructors

Frauke Kreuter, Ph.D.

Mariel Leonard
Instructors

Mariel Leonard