The statistics of targeting individual voters with specific messages, as opposed to messaging that went to whole groups, began in the U.S over a decade ago with the Democrats. Political targeting is now an established business, or at least a discipline within the broader realm of political consulting. By 2016, the Republicans had surged wellContinue reading “Political Analytics and Microtargeting”
Monthly Archives: January 2019
The Statistics of Persuasion
The Art of Persuasion is the title of more than one book in the self-help genre, books that have spawned blogs, podcasts, speaking gigs and more. But the science of persuasion is actually of more interest, because it produces useful rules that can be studied and deployed. Marketers and politicians have long been enthusiastic usersContinue reading “The Statistics of Persuasion”
Historical Spotlight – ISOQOL
25 years ago the International Society of Quality of Life Research was founded with a mission to advance the science of quality of life and related patient-centered outcomes in health research, care and policy. While focusing on quality of life (QOL) in healthcare may seem like a no-brainer, measuring it is not as easy asContinue reading “Historical Spotlight – ISOQOL”
Book Review: Thinking Fast and Slow
Daniel Kahneman won a Nobel Prize in Economics for his work in behavioral economics, much of it with his colleague Amos Tversky, who died in 2006. Kahneman’s 2011 classic, Thinking Fast and Slow, is a superbly-written non-technical summary of their fascinating research and its often counter-intuitive findings. The best feature of the book is theContinue reading “Book Review: Thinking Fast and Slow”
Likert Scale
A “likert scale” is used in self-report rating surveys to allow users to express an opinion or assessment of something on a gradient scale. For example, a response could range from “agree strongly” through “agree somewhat” and “disagree somewhat” on to “disagree strongly.” Two key decisions the survey designer faces are
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How many gradients to allow, and
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Whether to include a neutral midpoint
Football Analytics
Preparing for the Superbowl Your team is at midfield, you have the ball, it’s 4th down with 2 yards to go. Should you go for it? (Apologies in advance to our many readers, especially those outside the U.S., who are not aficionados of American football, but it’s Superbowl week in the U.S. A quick guideContinue reading “Football Analytics”
Job Spotlight: Digital Marketer
A digital marketer handles a variety of tasks in online marketing – managing online advertising and search engine optimization (SEO), implementing tracking systems (e.g. to identify how a person came to a retailer), web development, preparing creatives, implementing tests, and, of course, analytics. There are typically three types of employers: Marketing agencies that contract outContinue reading “Job Spotlight: Digital Marketer”
Dummy Variable
A dummy variable is a binary (0/1) variable created to indicate whether a case belongs to a particular category. Typically a dummy variable will be derived from a multi-category variable. For example, an insurance policy might be residential, commercial or automotive, and there would be three dummy variables created:
Things are Getting Better
In the visualization below, which line do you think represents the UN’s forecast for the number of children in the world in the year 2100? Hans Rosling, in his book Factfulness, presents this chart and notes that in a sample of Norwegian teachers, only 9% correctly identified the correct answer. Rosling, who died two yearsContinue reading “Things are Getting Better”
Artificial Lawyers
Can statistical and machine learning methods replace lawyers? A host of entrepreneurs think so, and do the folks who run www.artificiallawyer.com. Text mining and predictive model products are available now to predict case staffing requirements and perform automated document discovery, and natural language algorithms conduct legal research and case review. In 2017, a predictive algorithmContinue reading “Artificial Lawyers”
Entity Resolution and Identifying Bad Guys
Earlier, we described how Jen Golbeck (who teaches Network Analysis at Statistics.com) analyzed Facebook connections to identify fake accounts (the account holders friends all had the same number of friends, which is highly improbable statistically). Network analysis and studying connections lie at the heart of entity resolution. To a sales and marketing person, entity resolutionContinue reading “Entity Resolution and Identifying Bad Guys”