Monthly Archives: January 2013

What’s all this business about Bayes?

As readers of contemporary psychology journals may well know, you can’t help but keep reading about something called “Bayesian Statistics”. Researchers “in the know” seem to extol Bayesian statistics as a superior method of making inferences from data compared to traditional, “frequentist”, methods (yes, Mr p-value, I’m looking at you!).

But what is it? What can it do that standard methods can’t? It turns out the answer is just about everything you’ve ever dreamed of (well, as a researcher, anyway!). Continue reading

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APA formatted tables in MS Word

Well, I haven’t posted for AGES! This is—in most part—due to the hectic return to teaching. Over the first two weeks of semester, I have noticed in lab classes that students struggle with formatting their results tables correctly in their reports. Thus, I decided to knock up a quick screen-cast showing you all how to do this in MS Word.

I shall add more “substantive” post over the next few days. Enjoy!

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The Importance of an Adequate Sample Size

The new year is here! For me, this signals the approaching start of a year 2 research methods module that I run at Keele University. The module consists of weekly lectures and weekly lab classes, wherein students engage with classic-experiment replication and statistical analysis.

Towards the end of the semester, students break into groups of three and initiate a small research (experimental) project addressing a cognitive research question. When students get to the planning stage of their experiment, instructors always hear the same question: “How many participants do we need?”. They look at us eagerly awaiting some peal of wisdom (and a direct answer to their question), but are disappointed to hear the response: “It depends”. Continue reading

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