omeone posed me this question: Some of my research, if not all of it (:-S) will use multiple correlations. I’m now only considering those correlations that are less than .001. However, having looked at bonferroni corrections today – testing 49 correlations require an alpha level of something lower than 0.001. So essentially meaning that correlations […]
Categories: Big Data, MentorSpace, Quantitative
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This blog was published recently showing that the use of R continues to grow in academia. One of the graphs (Figure 1) showed citations (using google scholar) of different statistical packages in academic papers (to which I have added annotations). Figure 1: Citations of stats packages (from http://blog.revolutionanalytics.com/2012/04/rs-continued-growth-in-academia.html) At face value, this graph implies […]
Categories: Big Data, Quantitative
Continue Reading’ve been thinking about writing a blog on one-tailed tests for a while. The reason is that one of the changes I’m making in my re-write of DSUS4 is to alter the way I talk about one-tailed tests. You might wonder why I would want to alter something like that – surely if it was […]
Categories: Big Data, MentorSpace, Quantitative
Continue ReadingLike buses, you don’t get a blog for weeks and then two come at once. I saw today this headline: Does listening to rock make you racist? Seven minutes of Bruce Springsteen makes students favour white people over others in the daily mail online. They also included a helpful picture of Scott Weiland wearing a […]
Categories: MentorSpace, Quantitative
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****Warning, some bad language used: don’t read if you’re offended by that sort of thing**** I haven’t done a blog in a while, so I figured I ought to. Having joined Twitter a while back, I now find myself suffering from TwitterPanic™, which is an anxiety disorder (I fully anticipate to be part of DSM-V) […]
Categories: MentorSpace, Quantitative
Continue ReadingMy friend Jeremy Miles sent me this article by Basto and Periera (2012) this morning with the subject line ‘this is kind of cool’. Last time I saw Jeremy, my wife and I gatecrashed his house in LA for 10 days to discuss writing the R book that’s about to come out. During that stay […]
Categories: MentorSpace, Quantitative
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Having spent several weeks reading the proofs of my R textbook (that was dull I can assure you), I’m finally about to start thinking about the SPSS book update (a month late). I already have ideas about what chapters need to be re-written or re-organised, and I have some bits I want to add, and […]
Categories: Quantitative
Continue ReadingThere have been a few news stories recently about misunderstanding of statistics; especially confusing correlation with cause. For example, the Guardian ran this story/tutorial (http://t.co/AwCugVIV). Hot on the heels of that useful reminder, came a story linking unemployment in the UK to immigration from outside of the EU (http://t.co/7rTcFvbH). By the time the Daily Mail […]
Categories: MentorSpace, Quantitative
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So, in rolls 2012 and out rolls another year. I like new year: it’s a time to fill yourself with optimism about the exciting things that you will do. Will this be the year that I write something more interesting than a statistics book, for example? It’s also a time of year to reflect upon […]
Categories: Quantitative
Continue ReadingThis will be brief because, you know, it’s nearly Christmas and for those of us that use this as an excuse to eat too many sweets and drink too much beer and wine, it’s not a time for statistics. However, after Christmas will very much be a time for statistics in the Field household (my […]
Categories: MentorSpace, Quantitative
Continue ReadingI’m thinking of buying this book: http://www.amazon.co.uk/dp/0472050079/ref=pe_27691_27340931_pe_vfe_dt5 On the face of it it seems like the kind of book I’ll enjoy. Admittedly I’d enjoy a nice biography about Metallica or some other heavy rock band more, but I need to maintain the façade of loving statistics. It seems to be an historical account of why […]
Categories: Quantitative
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In my last blog I mentioned that Null Hypothesis Significance Testing (NHST) was a bad idea (despite most of us having been taught it, use it and possibly teach it to future generations). I also said that confidence intervals are poorly understood. Coincidentally, a colleague of mine, knowing that I was of the ‘burn NHST […]
Categories: MentorSpace, Quantitative
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