Dear CogTales reader, this post is about and made possible by you! You made this year the best yet in this little blog’s history. In today’s post, we want to take a moment and review which five posts you were most interested in. But first, we want to thank you. We’re hoping that you continue to come back and maybe even tell a friend or two about us. You can even contribute, if you have a story you would like to share, either with your name or anonymously, just get in touch.
So now let’s take a look back at the year as it is ending and review the top five posts according to our visitor statistics in 2017. Continue reading Looking back on 2017
Sometimes, things just fall into place: The evening before the most recent Academic Crisis Line on dealing with rejection and frustration, I got a pre-holiday manuscript rejection. As pointed out by the crisis liners, rejection in academia happens to everyone on a rather regular basis. So what we should really be concentrating on is to deal with it in the most self-preserving and productive ways possible. One thing that can really help is to talk through it, and to connect with others in similar situations.
So I thought it would be an interesting experiment to share my unfiltered thoughts while I deal with this rejected paper here on this blog.
Continue reading Rejection report: Part 1
A year (and a few days) ago Sho and I launched CogTales, and what a year it has been. Thanks to you all, be it as readers, guest posters, or in the comments, we’ve grown quite a bit in this short time. Posts covered research practices, personal experiences, an ongoing R course, and even a successful kickstarter campaign! Our most popular posts were actually those where we shared a personal story, be it about becoming an expeRt coder or standing up in a big room to ask the tough questions. This shows that those stories matter and are of interest, so we will continue to share the experiences and opinions of junior female researchers in cognitive science. If you would like to tell your story, just get in touch!
To a fantastic 2017!
Following up linear regression, in this lesson we’ll learn the math of logistic regression, and run a logistic regression in R. As always, we’ll expand our knowledge of dplyr and ggplot2.
For full materials, see the course website for Lesson 3.
Here you can revisit Lesson 0, Lesson 1 and Lesson 2.
Continue reading R Course: Lesson 3