Understanding and Using Statistics in Psychology: A Practical Introduction
by Jeremy Miles and Philip BanyardWhat the critics say: "Not as many jokes as Andy Field's book, but cheaper".
You might like to visit the learning statistics blog (that's where announcements relating to these pages will appear).
Jeremy Miles's Home page, which has links to stuff on some other books, and general stuff about me, is here.
You'll find on these pages an FAQ, and supplemental information, divided up by chapters.
(I haven't got around to putting the datasets up yet - if you want them before I have, then send me an email, and I'll send them to you. Let me know what format you want.)
Chapter 1 Things
Chapter 2 Things
Chapter 3 Things
Chapter 4 Things
Chapter 5 Things
Chapter 6 Things
Chapter 7 Things
Chapter 8 Things
Chapter 9 Things
Chapter 10 Things
Chapter 11 Things
Why should I buy this book?
If you're a psychology student, and want to know more about statistics, this might be the book for you. Of course, you don't have to buy it. You might borrow it from a library, or steal it from a friend.
What's it about?
Well, it's like a lot of other books on statistics in some ways. But different in others. It's about statistics, and the kinds of statistics that you will encounter in an undergraduate psychology degree in statistics.
Here are the chapters:
Well, yes it does look similar - and that's because we have to cover the same basic material. It's different in a couple of ways.
First, every dataset that we have is real, and from a published piece of research. If you want to know how the data are used, you can find the article and read about it.
Second, we focus on the statistics, not on the computer. The problem that some people have when they learn statistics is that they have to learn two things: how a computer program works, and how the statistics work. Learning about one thing is hard enough, learning about two is really hard. If you really understand the statistics first, the computer bit is easy - so we've separated them. Each chapter is about statistics, and then at the end of each chapter we cover how it's done in SPSS.
Then we have some stuff that you don't get in many introductory statistics books, but we think they are important, so we put them in. Things like the problems of significance tests, Bayes' theorem and power.
I don't use SPSS. Why don't you cover my favourite program?
We'd like to cover more, but we don't have the space - it would make the book too heavy to fit in your satchel, and too many trees would die to create it. If you really, really want a different program, we'll try to put it on this website, as some extra material. (We use SAS, R and Stata, as well as SPSS). However, once you've understood the material, doing it in any program is pretty straightforward.
Where can I buy it?
Well, you could support your local neighbourhood independent bookshop - they're run by nice people, and nowadays you can have a cup of tea and sit down in a comfy chair while you read the books. Then you don't have to buy them. Or you could buy it from Amazon. (Which is what we usually do). If you look at the Amazon page, you should also (at some point in the future) be able to look through, and read parts of the book.
Did you know that Milgram failed his statistics exam, and was almost thrown off his PhD?
Well, there you go, there's hope for us all.
Open office is available from: www.openoffice.org
You can find lots of online distribution calculators using Google. Here's one that we particularly like: http://www-stat.stanford.edu/~naras/jsm/examplebot.html.Here's the links to the two surveys that we mention. Student debt in the Guardian, smoking in Scotland.
Here's the UK Data Archive.
The paper about breast screening (Alexander, et al, 1999) can be found here: http://breast-cancer-research.com/paperreport/bcr-1999-66586
Hitting the headlines can be found here: http://www.nelh.nhs.uk/hth
SupplementMore explanation of logarithms can be found on a different page - here.
SupplementCorrecting Spearman correlation for ties.
Exact significance of a correlation in Excel.
Calculating Kendall's Tau-a Correlation
SupplementCalculate probability of replication.
GPower 3 has been released since we completed the book. You can get it here: http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/
You can get PS (windows only) here: http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/PowerSampleSize
The Bayesian Songbook is here:
The Bayesian Songbook: http://www.biostat.umn.edu/~brad/cabaret.html