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.