andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-40 knowledge-graph by maker-knowledge-mining
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Introduction: Jeff Heer and Mike Bostock provided Mechanical Turk workers with a problem they had to answer using different types of charts. The lower error the workers got, the better the visualization. Here are some results from their paper Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design : They also looked at various settings, like density, aspect ratio, spacing, etc. Visualization has become empirical science, no longer just art.
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2 The lower error the workers got, the better the visualization. [sent-2, score-0.562]
3 Here are some results from their paper Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design : They also looked at various settings, like density, aspect ratio, spacing, etc. [sent-3, score-0.492]
4 Visualization has become empirical science, no longer just art. [sent-4, score-0.334]
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Introduction: Jeff Heer and Mike Bostock provided Mechanical Turk workers with a problem they had to answer using different types of charts. The lower error the workers got, the better the visualization. Here are some results from their paper Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design : They also looked at various settings, like density, aspect ratio, spacing, etc. Visualization has become empirical science, no longer just art.
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Introduction: Dan Kahan gives a bunch of reasons not to trust Mechanical Turk in psychology experiments, in particular when studying “hypotheses about cognition and political conflict over societal risks and other policy-relevant facts.”
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Introduction: This , sent in by Ben Bolker, is just tooooo funny. Click on the above image to see more clearly. In addition to the quote I used in the above title, there’s also this: +10.000 correlations/min Sooner than later, your future discovery will pop up. and this: The most relevant conclusions in your scientific paper are concealed under the experimental data but you simply cannot see them. All they need is to pipe in a Mechanical Turk request form on one end and a Psychological Science submission form on the other, and they’ll have the complete package!
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Introduction: Ricardo Pietrobon writes, regarding my post from last year on attitudes toward data graphics, Wouldn’t it be the case to start formally studying the usability of graphics from a cognitive perspective? with platforms such as the mechanical turk it should be fairly straightforward to test alternative methods and come to some conclusions about what might be more informative and what might better assist in supporting decisions. btw, my guess is that these two constructs might not necessarily agree with each other. And Jessica Hullman provides some background: Measuring success for the different goals that you hint at in your article is indeed challenging, and I don’t think that most visualization researchers would claim to have met this challenge (myself included). Visualization researchers may know the user psychology well when it comes to certain dimensions of a graph’s effectiveness (such as quick and accurate responses), but I wouldn’t agree with this statement as a gene
5 0.14630073 1630 andrew gelman stats-2012-12-18-Postdoc positions at Microsoft Research – NYC
Introduction: Sharad Goel sends this in: Microsoft Research NYC [ http://research.microsoft.com/newyork/ ] seeks outstanding applicants for 2-year postdoctoral researcher positions. We welcome applicants with a strong academic record in one of the following areas: * Computational social science: http://research.microsoft.com/cssnyc * Online experimental social science: http://research.microsoft.com/oess_nyc * Algorithmic economics and market design: http://research.microsoft.com/algorithmic-economics/ * Machine learning: http://research.microsoft.com/mlnyc/ We will also consider applicants in other focus areas of the lab, including information retrieval, and behavioral & empirical economics. Additional information about these areas is included below. Please submit all application materials by January 11, 2013. ———- COMPUTATIONAL SOCIAL SCIENCE http://research.microsoft.com/cssnyc With an increasing amount of data on every aspect of our daily activities — from what we buy, to wh
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Introduction: Jeff Heer and Mike Bostock provided Mechanical Turk workers with a problem they had to answer using different types of charts. The lower error the workers got, the better the visualization. Here are some results from their paper Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design : They also looked at various settings, like density, aspect ratio, spacing, etc. Visualization has become empirical science, no longer just art.
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Introduction: I stumbled across a chart that’s in my opinion the best way to express a comparison of quantities through time: It compares the new PC companies, such as Apple, to traditional PC companies like IBM and Compaq, but on the same scale. If you’d like to see how iPads and other novelties compare, see here . I’ve tried to use the same type of visualization in my old work on legal data visualization . It comes from a new market research firm Asymco that also produced a very clean income vs expenses visualization (click to enlarge): While the first figure is pure perfection, Tufte purists might find the second one too colorful. But to a busy person, color helps tell things apart: when I know that pink means interest, it takes a fraction of the second to assess the situation. We live in 2012, not in 1712 to have to think black and white. Finally, they have a few other interesting uses of interactive visualization, such as cellular-broadband infrastructure around
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Introduction: Have data graphics progressed in the last century? The first addresses familiar subjects to readers of the blog, with some nice examples of where infographics emphasize the obvious, or increase the probability of an incorrect insight. Your Help Needed: the Effect of Aesthetics on Visualization I borrow the term ‘insight’ from the second link, a study by a group of design & software researchers based around a single interactive graphic. This is similar in spirit to Unwin’s ‘caption this graphic’ assignment.
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Introduction: Stephanie Evergreen writes: Media, web design, and marketing have all created an environment where stakeholders – clients, program participants, funders – all expect high quality graphics and reporting that effectively conveys the valuable insights from evaluation work. Some in statistics and mathematics have used data visualization strategies to support more useful reporting of complex ideas. Global growing interest in improving communications has begun to take root in the evaluation field as well. But as anyone who has sat through a day’s worth of a conference or had to endure a dissertation-worthy evaluation report knows, evaluators still have a long way to go. To support the development of researchers and evaluators, some members of the American Evaluation Association are proposing a new TIG (Topical Interest Group) on Data Visualization and Reporting. If you are a member of AEA (or want to be) and you are interested in joining this TIG, contact Stephanie Evergreen.
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Introduction: Jeff Heer and Mike Bostock provided Mechanical Turk workers with a problem they had to answer using different types of charts. The lower error the workers got, the better the visualization. Here are some results from their paper Crowdsourcing Graphical Perception: Using Mechanical Turk to Assess Visualization Design : They also looked at various settings, like density, aspect ratio, spacing, etc. Visualization has become empirical science, no longer just art.
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Introduction: From Anthony Burgess’s review of “The Batsford Companion to Popular Literature,” by Victor Neuberg: Arthur J. Burks (1898-1974) was no gentleman. During the 1930s, when he would sometimes have nearly two million words in current publication, he aimed at producing 18,000 words a day. Editors would call me up and ask me to do a novelette by the next afternoon, and I would, but it nearly killed me. . . . I once appeared on the covers of eleven magazines the same month, and then almost killed myself for years trying to make it twelve. I never did. [Masanao: I think you know where I'm heading with that story.] Ursula Bloom, born 1985 and still with us [this was written sometime between 1978 and 1985], is clearly no lady. Writing also under the pseudonyms of Lozania Prole (there’s an honest name for you), Sheila Burnes and Mary Essex, she has produced 486 boooks, beginning with Tiger at the age of seven. . . . Was Richard Horatio Edgar Wallace (1875-1932) a gentleman? .
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Introduction: James Druckman and Jeremy Freese write: We are pleased to announce that Time-Sharing Experiments for the Social Sciences (TESS) was renewed for another round of funding by NSF starting last Fall. TESS allows researchers to submit proposals for experiments to be conducted on a nationally-representative, probability-based Internet platform, and successful proposals are fielded at no cost to investigators. More information about how TESS works and how to submit proposals is available at http://www.tessexperiments.org. Additionally, we are pleased to announce the development of two new proposal mechanisms. TESS’s Short Studies Program (SSP) is accepting proposals for fielding very brief population-based survey experiments on a general population of at least 2000 adults. SSP recruits participants from within the U.S. using the same Internet-based platform as other TESS studies. More information about SSP and proposal requirements is available at http://www.tessexperiments.org/ssp.
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Introduction: Peter Woit links to Steve Hsu linking to a 1977 interview by Katherine Sopka of physics professor Sidney Coleman. I don’t know anything about Coleman’s research but the interview caught my eye because one of my roommates in grad school was one of Coleman’s advisees. Anyway, here’s the key bit from the interview: Sopka: But you do enjoy working with students or do you? Coleman: No. I hate it. You do it as part of the job. Well, that’s of course false…or maybe more true than false when I say I hate it. Occasionally there’s a student who is a joy to work with. But I certainly would be just as happy if I had no graduate students… Sopka: I guess your remark means then that you would like to avoid teaching undergraduate courses or even required graduate courses… Coleman: Or even special topics courses. Teaching is unpleasant work. No question about it. It has its rewards. One feels happy about having a job well done. Washing the dishes, waxing the floors (things I also
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Introduction: Brayden King points to this page of materials on sociologist Erving Goffman. Whenever I’ve read about Goffman, it always seems to be in conjunction with some story about his bad behavior–in that respect, King’s link above does not disappoint. In the absence of any context, it all seems mysterious to me Once or twice I’ve tried to read passages in books by Goffman but have never manage to get through any of it. (This is not mean as any kind of criticism, it’s just a statement of my lack of knowledge.) I was amused enough by the stories reported by King that I clicked through to the Biographical Materials section of the Goffman page and read a few. I still couldn’t really quite get the point, though, perhaps in part because I only know one of the many people on that list.
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