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Applying for jobs.. the slog

Applying for jobs.. the slog

Applying for an academic job is a little different from other jobs, especially in the amount of documentation some schools require. Academic CV’s are famously long. But then there are documents such as: research statement (2-6 pages) teaching statement diversity...

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How to build a search in Web of Science

How to build a search in Web of Science

While it is fast and simple to conduct a basic search on Web of Science (WoS), to build a corpus for a bibliometric analysis, the search needs to be precise, with as many relevant articles as possible included, while excluding irrelevant ones, that will just create...

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When scientists are wrong..

Many studies and findings are questioned as a replications fail. When some are approached about possible weaknesses, like Amy Cuddy (and with her mentor Susan Fiske at her back), they fight tooth and nail. Others do it differently. A finding Dan Ariely has based part...

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Replication vs. reproducibility

There is a distinction (not always observed by various authors) between Replication and reproducibility. Replication is re-running studies to confirm results. This means, collect own data, and get the same effect for your study. Reproducibility is the the ability to...

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There are many ways to scientific fraud

There are many ways to scientific fraud

An entertaining version of it was published ten years ago, by Neuroskeptic at: http://neuroskeptic.blogspot.com/2010/11/9-circles-of-scientific-hell.html and since then, also as an article: https://journals.sagepub.com/doi/10.1177/1745691612459519 as both can be...

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Advice through a PhD, from Oliver Williamson

Advice through a PhD, from Oliver Williamson

We all know our PhD journey has been unique, special, just like the snowflakes we are. Reading the advice Oliver Williamson gave his phd students, makes me smile, it is advice I should have got during my journey. It would have been perfectly tailored to me. The essay,...

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Effect size, statistical significance and big data

Effect size, statistical significance and big data

Many, if not most statistical methods were developed for relatively small datasets. Big Data means we need to reevaluate how we interpret results. A good examples comes from “the Facebook experiment” Emotional contagion through social networks Adam D. I. Kramer, Jamie...

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A manifesto for reproducible science

A manifesto for reproducible science

There are ohh-so many ways to mess up when conducting research, leading either intentionally or unintentionally, to false results. Open science, where every effort is made to allow others to check your work (put very simply) is on the rise. Here is a great article on...

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Free access to research articles

Free access to research articles

Academic research is contingent on building on past findings, much published in academic journals. While researchers get nothing from the journals when they submit their work (indeed, some pay for the privilege to get published), it can cost a fortune to access the...

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Creating model diagrams

Creating model diagrams

While most make models in Word or Powerpoint, there are other alternatives, that can also be used with R. One such, is DAGitty, (and related packages). You can make the diagrams in a browser window, and export the R code. The diagrams can be exported in most high...

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Style guide for academic writing

Style guide for academic writing

There are many - very many - styles in academia. At times, it seems every journal has their own style, which differs just a little from others; seemingly with the intent to frustrate a submitting author (or to act as a last-ditch attempt to stop those who just submit...

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Are the metrics for academic success changing?

The term "Publish or perish" is well known, and in part comes from seeing that those who publish more, tend to receive more as well. Volume counts. This skews incentives, leading to shortcuts and outright fraud. Will this ever change? In a recent article on one such...

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Bibliometrix and biblioshiny – R packages

Bibliometrix and biblioshiny – R packages

Bibliometric analysis is taking off, fueled by increasingly easy to use software. While R can have a daunting learning curve, there are some great packages available for those interested. One is Bibliometrix. The command line side of it offers some great flexibility...

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