Latest posts
Scientific writing: “The C-word: Scientific euphemisms do not improve causal inference from observational data”
One of the first things taught in statistics, is that correlation does not imply causation. Indeed, to say something about causation, one basically needs experimental or quasi-experimental design. Unfortunately, this can be difficult, or impossible in many contexts....
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Workshop on “The possibilities in Bibliometric Analyses for Researchers”
Bibliometrics is the statistical analysis of written publications, based on content and / or metadata. Although bibliometric methods are often applied to evaluate institutions scholarly impact, it can also be applied differently and offer insights to topics of more...
read moreModeration and Mediation analysis
Just a course in Mediation and Moderation analysis, and the use of the Process macro, with Amanda Montoya. Brilliant, in that it really explains how to use the tool, and how to interpret the results. Amanda is also a gifted instructor. 🙂 Here a few notes and...
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Writing suggestions for Msc. students
I have corrected student assignments for some years, and want to share some suggestions which could help lift the quality of the responses. While the examples I use are largely taken from a course in business ethics I have been involved in, these suggestions can be...
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Graphs and diagrams..
I am continuously amazed at some of the statistics and associated graphs I see in published research. One recent example I saw caught my interest first, when I saw the legend for the stars indicating significance levels.Traditionally, one star is for 0.10; (IF you...
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Personal branding and social media: thoughts for budding academics
I have been asked to give a lecture on how budding academics may want to think about their online personas for a conference held here at BI Norwegian Business School. Here is some supporting documents to that lecture. The lecture notes with added text: Branding and...
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PhD comic and my dream
I love this comic... and think this is a great example! 😀
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SNA measures are not like other measures
There is a multitude of measures in social network analysis (SNA). In other social sciences, great lengths are gone to develop robust and valid measures, with discrete validity, which means there are relatively few overlapping constructs; and some remain standard for...
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Bibliometric analysis of a department
Bibliometric analysis has range of applications, a practical application is analyzing a research institution or department; such as in terms of topics, collaborations (both internal and external) and impact (in the form of citations) in the scientific community. To...
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What topics does your favorite journal publish?
Another day, another use for bibliometric analysis. I was recently at a conference where the editor of AMJ strongly recommended to read the mission statement of a journal before submitting; hitting the target is key to get it considered, and published. There is no...
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Publishing in top tier outlets: some insights from bibliometric analysis
I was discussing with a friend what it takes to get published in the very top journals. The established answers include: need excellent data (eg. multiple sources and time points), a novel and interesting idea, and well written work. . . Is this really it? I think...
read moreCohen’s d explained
Great page with a simple and visual explaination of what Cohen's d is, and how to make sense of it. http://rpsychologist.com/d3/cohend/
read moreFit Statistics in Structural Equation Modeling
Nice summary of what fit statistics are http://www.deeplytrivial.com/2018/04/statistics-sunday-fit-statistics-in.html?m=1
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How to review for a journal
Reviewing for the first time us daunting.. bit is a great learning opportunity and is part of the research life. Learning how to do so as constructively as possible is worthwhile. Here are some resources. This one gives some attitudes to have, structure to consider...
read moreConcept clarity
Not read the article in full yet, though this article on concept clarity strikes a chord, having read a lot of articles where concepts change, and are mixed from one article to the next. Believe it is worth studying before writing up my next paper. :)...
read moreResources for structuring and writing
A good structure can help the reader understand the content of a paper. Well written text also. Here are some resources that help to this end. Ten simple rules for structuring papers Brett Mensh, Konrad Kording Published: September 28, 2017...
read moreHow easy science findings can be misconstrued.. and have large consequences
.. or put differently: ALWAYS read the original study, and look at the variables, before basing your own research on past findings! Surprisingly often, authors make hefty claims based on their findings.. which may not always have as strong a basis. I have recently...
read moreAfter the title, the abstract is possibly the most important part of an article: here are some thought on how to write it
With the ever growing wealth of research being published, when searching for relevant literature, many of us scan titles, and possibly abstracts to determine if we will read on. Crating a good abstract is obviously important. Here are some tips on how to write one....
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P-hacking
Heteroskedasity.. and a good statistics blog
There are many terms in statistics one should know, and most courses assumes one does.. Further, many statistics text books explain these terms mathematically, and in such a way I do not find it conducive to understanding 🙂 the Blog Deeply Trivial covers quite a few...
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