Enroll Course: https://www.coursera.org/learn/data-collection-methods
In the realm of survey research, understanding how data collection methods influence data quality is crucial for producing reliable and valid results. Coursera’s course, ‘Data Collection: Online, Telephone, and Face-to-face,’ offers a comprehensive overview of various survey modes and delves into the literature on survey design decisions. Unlike basic tutorials, this course aims to sensitize learners to how alternative survey designs can impact the data obtained. It covers a wide range of topics, from classic interview methods to emerging modes like mobile web surveys, SMS interviews, and novel data sources such as sensor and social media data.
The course is structured into four insightful modules:
1. **Introduction and Classic Modes** – Understand the key concepts and tradeoffs involved in face-to-face and telephone surveys.
2. **Self-administration and Online Data Collection** – Learn the pros and cons of self-administered surveys, including online methods.
3. **Interviewers and Interviewing Techniques** – Explore the roles of interviewers and different interviewing approaches, analyzing their effects on data accuracy.
4. **Emerging Modes and New Data Sources** – Evaluate cutting-edge methods like mobile surveys and alternative data sources, understanding their potential and limitations.
Whether you’re a researcher, data analyst, or student, this course enhances your understanding of how survey design choices affect data quality, thereby improving your ability to interpret survey results accurately. I highly recommend this course for anyone interested in the intricacies of data collection and survey methodology. It provides valuable insights that can improve the quality of your research and data collection practices.
Enroll Course: https://www.coursera.org/learn/data-collection-methods