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Better writing by large and small cuts

Better writing by large and small cuts

Giants in the field of how to write well recommend brutal editing of ones own text; often said as: "murder your darlings". The advice is sound. A rule of thumb may be that one should have half the words left of the original draft. Some key points: Cut any parts that...

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The role of narratives in how information spreads

When theorizing about the world and how information is spread, it is easy to assume that better information will prevail, and, when conducting social network analysis, that all information is equal, it is all about the structure and characteristics of the node. This...

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The futuRe of statistics.. is R…

The futuRe of statistics.. is R…

It is the most up to date software; it will make you more attractive on the job market; and enable you to do any analysis from one program. The two (linked) articles explain why, and give a great list of resources for how to learn, including Coursera : Read more at:...

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The natural selection of bad science

This paper lays out the argument that flawed research design, methods and analysis (all be it unintentional) will yield results in greater volume and that are more novel and surprising; and thus, also greater rate of publishing. As publishing is a key factor in...

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Selection bias and the use of success stories

While it is obvious when stated, it is still a sad fact that the popular business press continues to write hero stories and generalize from business successes. This article from HBR is a quick introduction to why this can lead one to draw the wrong conclusions....

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Measurement error and the replication crisis

A common assumption has been that if one finds statistically significant results with noisy data, it means that the findings are conservative. (The intuition is that had there not been strong associations present, they would not have made it through the noise) In...

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How statistics lost their power

Interesting historical perspective, and why statistics as a tool to form policy and public opinion may loose its effect in the time to come. some points: the nation is a misleading entity to use; while some cities flourish and grow, other regions are hit hard; an...

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How should academics be evaluated?

Great article titled: "“Am I Famous Yet?” Judging Scholarly Merit in Psychological Science. An Introduction" by Robert J. Sternberg; which discusses the various metrics used, their shortcomings and what changes in how academics will be judged in the future. A good...

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How to attend a conference

While interesting to go, my first academic conference did not exactly give me high returns on the investment. Did I "do it" in the best way possible? Definitely not. This article gives a quick summary of what I should been doing 🙂 In short: Define your goals Do your...

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Building Effective Networks

Herminia Ibarra is a professor of Organizational Behavior at INSEAD, and ranked as one of the most influential management thinkers, on one list as number 8.  http://thinkers50.com/t50-ranking/2015-2/ In the linked 15 minute video, she presents her thoughts on...

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Kindle: different uses and Oasis vs. Paper White

Kindle: different uses and Oasis vs. Paper White

I first tried an e-reader in 2010, when I got a Kindle Fire. I hated it, and gave it to my nephew so he could use it to play games. I had to get an e-book for my research, so decided to try the Kindle Paper White; a black and white, e-ink reader. I loved it. Easy to...

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Statistics tools

Some times, one needs to calculate some statistics, like effect size; not complex, but takes time. Here is a collection of tools to make that easier. http://www.danielsoper.com/statcalc/    

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Friends with academic benefits

Friends with academic benefits

This article studies college students, from a sociological perspective, using network theory analysis and qualitative work. The key findings: Student’s social networks fall into three types: tight knitters, compartmentalizes and samplers. Tight Knitters: all friends...

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Competing against luck

Competing against luck

Clayton Christensen gives a lecture on his new book; the key point is: Focus on what problem you are solving for the customer; not what your product can do, or what you can offer. His example from McDonalds is: What problem does their Milkshake solve: answer: a snack...

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