- 232 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Designing Online Experiments for the Social Sciences
About this book
This book guides you through designing and implementing an online experiment in social science research in a clear and straightforward manner.
At an approachable pace, it covers foundational principles of good experimental design before setting out best practice for how to design and conduct web experiments, taking into account the specific methodological challenges of working online with digital tools. The book:
- Offers practical advice for approaching every stage of the research process
- Breaks real-world examples into easy to follow steps
- Focuses on how to make good decisions and choose the right design for your research project
This pragmatic guide helps beginner researchers get started with online experiments confidently. It is supported by online resources such as case studies which allow you to see the concepts in practice, and weblinks to tools and resources to aid you.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Designing Online Experiments for the Social Sciences by Giuseppe Veltri in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of contents
- Illustration List
- Online Resources
- Acknowledgements
- About the Author
- Acknowledgements
- Introduction
- 1 Online Population-Based Survey Experiments
- 2 The Ethics of Online Experiments
- 3 Causal Inferences and Experiments
- 4 Sampling for Population-Based Survey Experiments
- 5 Building Your Experiment
- 6 Dealing With Missing Data and Non-Compliance
- 7 Execution of Population-Based Survey Experiments: Case Studies
- 8 The Value of Population-Based Survey Experiments for Social Scientific Research
- References
- Index