Freeman, M. (2006). A visual comparison of normal and paranormal distributions. Journal of Epidemiology & Community Health, 60(1), 6–6.
Readings
Chapter 3, “A Student’s Guide to Open Science” - Causes of the Crisis
Lectures and quizzes
Lecture 3 is available online.
Lecture 3 recording is here.
Quiz 3 is available online
Useful links
How to wrangle data in jamovi
Data files for playing along
Course files for the tutorial are here
Data literacy
Data literacy interactive tutorial by Ted Laderas
Do make time to go through this excellent tutorial if you’re feeling a bit rusty on your stats! It’s written in R Statistical Software, but you don’t have to know R to go through it.
Forum
Topic - Intersectionality in Research
Recently, journals have started requiring positionality statements, or Diversity and Inclusion statements (e.g. see here at Cell Press) when authors publish a paper. This has caused a rather predictable backlash (e.g. see here). Before deciding what you think of this, have a read of this paper on using an Intersectionality Toolbox to teach and apply an intersectional lens to public health. There are a lot of additional readings in there - you don’t need to read these all, of course! Much of this could be directly relevant to Psychology research as well.
What do you think? Is this a useful addition to transparency in research, or is it a clumsily applied tool to appease criticisms of bias? I’m genuinely interested in your opinions!