Posts Tagged ‘ effect size ’

Neuroscience, statistical power and how to increase it

April 21, 2013
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Neuroscience, statistical power and how to increase it

There has been quite a bit of buzz recently about the Button et al. Nature Reviews Neuroscience paper on statistical power. Several similar reviews have been published in psychology and other disciplines and come to broadly the same conclusion - that m...

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Yet more on p values …

August 21, 2012
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Yet more on p values …

I wasn't going to post on this ... but couldn't resist. A recent QJEP paper reports suspicious patterns in p values across three psychology journals. This has been blogged elsewhere (see here and here), so I haven't got too much to add. Although ...

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Yet more on p values …

August 21, 2012
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Yet more on p values …

I wasn't going to post on this ... but couldn't resist. A recent QJEP paper reports suspicious patterns in p values across three psychology journals.This has been blogged elsewhere (see here and here), so I haven't got too much to add. Although I ...

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What’s up with social psychology?

August 3, 2012
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What’s up with social psychology?

... or to be more precise, what's up with experimental social psychology?A number of high profile cases of suspected (in some cases admitted) fraud have been highlighted in psychology recently - my own discipline - but they've (nearly all arisen in exp...

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Can a Regression Model with a Small R-squared Be Useful?

May 14, 2012
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Can a Regression Model with a Small R-squared Be Useful?

R² is such a lovely statistic, isn't it? Unlike so many of the others, it makes sense--the percentage of variance in Y accounted for by a model. I mean, you can actually understand that. So can your grandmother. And the clinical audience you're writing the report for. A big R² is always big (and good!) and a small one is always small (and bad!), right? Well, maybe.

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Serious stats – free statistics resources

March 23, 2012
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Serious stats – free statistics resources

The companion web site for Serious Stats is now live:http://www.palgrave.com/psychology/baguley/The web site includes:- a free sample chapter (Chapter 15: Contrasts)- data sets- R scripts- 5 online supplements (for meta-analysis, multiple imputation, r...

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Serious stats – a quick chapter summary

February 4, 2012
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Serious stats – a quick chapter summary

Here is a list of the contents by chapter with quick notes on chapter content … 0. Preface (About the book; notes on software, mathematics and types of boxed sections) 1. Data, Samples and Statistics (A gentle review of measures … Continue reading →

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When correlations go bad … (Or, I always wanted to write about the Society for the Suppression of the Correlation Coefficient)

January 29, 2010
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When correlations go bad … (Or, I always wanted to write about the Society for the Suppression of the Correlation Coefficient)

A while ago I promised a longer post on standardized effect size. This isn't it. Instead it is a link to my piece in the February 2010 issue of The Psychologist. I had intended to write a short summary of my 2009 BJP paper, but that didn't r...

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Chi-square test of independence and the odds ratio

October 20, 2009
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Chi-square test of independence and the odds ratio

Every time I teach an introductory statistics course I'm struck by how difficult it is to run a simple 2 by 2 chi-square test of independence. SPSS is one of the worst culprits (but even in R it almost seems more trouble than it is worth to use a compu...

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Don’t standardize interaction/moderator effects in multiple regression

March 12, 2009
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Don’t standardize interaction/moderator effects in multiple regression

This is another quick blog entry related to a query I had today. In my moderated multiple regression workshop a while back I wrote (on slide 15) "don't use standardized regression coefficients". In the talk itself I briefly mentioned why and direct...

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