When the dependent variable in a linear regression is not normally distributed, it can violate key assumptions, particularly those affecting inference (like p-values and confidence intervals). Here are remedies depending on the severity and...
Power analysis in regression helps you determine whether your sample size is large enough to detect an effect of a certain size with a given level of confidence. It’s essential when planning studies to...
In regression analysis, effect size refers to the strength or practical importance of the relationship between the predictor(s) and the outcome variable. Unlike t-tests, regression effect sizes focus on how much variance is explained...
In SPSS and statistics more broadly, effect size in the context of a t-test measures the magnitude of the difference between two groups, independent of sample size. While a t-test tells you whether the...
Artificial Neural Networks (ANNs) have become a popular tool in predictive analytics due to their ability to model complex, non-linear relationships between input and output variables. While advanced machine learning libraries in Python or...
I have encountered several challenges over the years when collaborating in research actuvutues with people around the world. The main conflict arises from the understanding of research ethics related issues. Therefore, I decided to...
There has been lots and lots of information and debate about the capability of generative AI tools such as ChatGPT in academic writing. I have published several youtube videos on how to use such...
I am happy to share that I have been promoted to Full Professor of Shipping and Logistics at the University of South-Eastern Norway (USN). This achievement would not have been possible without the support...
The water-diamond paradox, also known as the paradox of value, was introduced by Adam Smith in his seminal work The Wealth of Nations (1776). It highlights the apparent contradiction between the value of a...
Publishing a paper is easy nowadays; there are so many journals and publishers, and anyone can publish almost anything. The question is- do we want to publish just anything? Do we want to publish...
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The views expressed throughout the website are my own, and they do not reflect the views of my employer.
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