Framework for Data Collection and Analysis
Framework for Data Collection and Analysis
This course is part of Survey Data Collection and Analytics Specialization
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There are 4 modules in this course
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.
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.
What's included
9 videos5 readings1 assignment2 discussion prompts
9 videos•Total 51 minutes
- Research Question Design•14 minutes
- Types of Data•9 minutes
- Examples of Found Data•3 minutes
- Visualizing the Data Generation Process•6 minutes
- Data Curation•6 minutes
- Data Analysis•6 minutes
- Access Issues•3 minutes
- Access Resources•4 minutes
- Summary•1 minute
5 readings•Total 100 minutes
- Course Overview•10 minutes
- Readings and Resources List•10 minutes
- Handouts•10 minutes
- AAPOR (2015)•40 minutes
- Couper (2013)•30 minutes
1 assignment•Total 30 minutes
- Quiz for Week 1•30 minutes
2 discussion prompts•Total 20 minutes
- Discussion Prompt: Your own experience•10 minutes
- Discussion Prompt: Privacy•10 minutes
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.
What's included
6 videos2 readings1 assignment
6 videos•Total 36 minutes
- Issues with Inductive Reasoning•6 minutes
- Planning on What You Want to Observe•8 minutes
- Planning on How to Collect Data•6 minutes
- New Modes•5 minutes
- Web and Google•7 minutes
- Choosing a Mode•5 minutes
2 readings•Total 40 minutes
- Handouts•10 minutes
- Jäckle et al. (2015)•30 minutes
1 assignment•Total 30 minutes
- Quiz for Week 2•30 minutes
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.
What's included
8 videos3 readings1 assignment
8 videos•Total 49 minutes
- Quality of Data•5 minutes
- Inference•4 minutes
- Survey Life Cycle from a Design Perspective - Measurement•5 minutes
- Survey Life Cycle from a Design Perspective - Representation•5 minutes
- Survey Lifecycle from a Process Perspective•2 minutes
- Survey Lifeycle from a Quality Perspective•15 minutes
- Survey Lifecycle from a Quality Perspective (II) - Metrics•4 minutes
- Survey Lifecycle from a Quality Perspective (III) - Coverage and Sampling•9 minutes
3 readings•Total 60 minutes
- Handouts•10 minutes
- Groves (2011)•20 minutes
- Groves & Lyberg (2010)•30 minutes
1 assignment•Total 30 minutes
- Quiz for Week 3•30 minutes
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.
What's included
8 videos2 readings1 assignment2 discussion prompts
8 videos•Total 36 minutes
- NCVS•8 minutes
- NSDUH•3 minutes
- SCA•4 minutes
- NAEP•3 minutes
- BRFSS•3 minutes
- CES•3 minutes
- SHARE•5 minutes
- ESS•7 minutes
2 readings•Total 40 minutes
- Handouts•10 minutes
- Davidov (2008)•30 minutes
1 assignment•Total 30 minutes
- Quiz for Week 4•30 minutes
2 discussion prompts•Total 20 minutes
- Discussion Prompt: Alternative Data Sources•10 minutes
- Discussion prompt: In your country•10 minutes
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Reviewed on Aug 22, 2017
This great course and a good foundation for the specialization. The lecturer is amazing and experienced. I really enjoyed this one.
Reviewed on Oct 30, 2020
Useful to build basic knowledge which helps you choosing a better mode and linking the objectives of research with the tools (how).Thanks to the instructor and Coursera.
Reviewed on Dec 30, 2021
The way the instructor was teaching was not very exciting, but the course was a good start as it had general information about data analysis.
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