This class covers a range of different topics that build on top of each other. For example, in the first tutorial, you will learn how to collect data from Twitter, and in subsequent tutorials you will learn how to analyze those data using automated text analysis techniques. For this reason, you may find it difficult to jump towards one of the most advanced issues before covering the basics. Introduction: Strengths and Weaknesses of Text as Data Application Programming Interfaces Screen-Scraping Basic Text Analysis Dictionary-Based Text Analysis Topic Modeling Text Networks Word Embeddings
The Food Security and Nutrition Network Behavior Bank features results from Barrier Analysis and Doer/NonDoer Studies conducted by food security and other practitioners globally. (Click here for a description of Barrier Analysis.) You can browse the database by country, region, and behavior studied to look for results for a particular area/behavior, or to look for patterns of barrier and enablers for a particular behavior or set of behaviors.
Emotion, empathy and ethnography in policy-making
useful tips on reporting on qualitative research
resources on diary studies
In this paper, we describe how PSI's qualitative research program developed from 2003 to 2013, and how using an interpretive approach and more appropriate data collection methods improved our consumer insight and marketing planning process.
This idea, that five to eight users will reveal 85% of all usability problems, is an old myth. It’s not true. It’s never been true.
Breakthrough ACTION has distilled guidance on social and behavior change (SBC) monitoring methods into a collection of technical notes. Each note provides an overview of a monitoring method that may be used for SBC programs along with a description of when to use the method and its strengths and weaknesses.
20 5-minute Speed interviews with super fans - Amy Jo Kim 1. Day in the life - walk me through the parts of your day with relevant activities 2. What's working with your current approach? What have you already tried to address your pain points? What's working best for you right now? 3. What could be better? What would you change?
At Dropbox, we’ve found that metaphors are a powerful tool to help people explore and share their experiences in more creative and meaningful ways. We use metaphors in research so people can talk about their experiences through a different lens. We can do this simply by inviting people to make a comparison through a single question. Or we can facilitate entire interviews by using tools to symbolize and explore meaning together.
Small, medium or large — what sample size of users fits your study is a composite question. The magic number of 5 users may work magic in some studies while in some it may not. It depends on the constraints put on by project requirements, assumptions about problem discoverability and implications to the design process. Assess these factors to determine the number of users for your study: What’s the nature and scope of research — is it exploratory or validatory? Who and what kind of users are you planning to study? What’s the budget and time to finish the study? Does your research involve presenting statistically significant numbers or inferring behavioural estimates for the problem statement?