There’s a companion website, QR codes, and YouTube webcasts, all of which make it seem like Andy Field is your friend, ready to help with your analysis however he can though, realistically, you have to wonder about whether he’s likely to engage in detailed discussion or consultation on Twitter. He’s working on a new book now, you know… For those among us of other persuasions, there’s Discovering statistics using R and Discovering statistics using SAS. Even some Excel tips would be good, as SPSS charts and graphs are a bid unwieldy. Advanced techniques like structural equation modelling, which is de rigueur in several fields in psychology, just don’t feature.
It’s not the only book you’ll ever need, though, and not because of things that aren’t in the book but because of things that aren’t in SPSS.
He’s quite open about the short-comings of SPSS, helpfully providing solutions and tips where necessary. New editions follow as IBM release new versions of SPSS but also as the theory and practice of statistics develop you decide which is the bigger influence.
IBM SPSS STATISTICS REVIEWS SOFTWARE
This is where Field’s influence could be at its strongest and the more lecturers build stats courses around his books, the more his philosophy of prediction will spread.Īpart from the change to the title, Field seems relatively free of the tyranny of the multi-national software company. He challenges the customary practice of privileging significance testing in how statistics is taught, and the way that tests are distinguished: For Field, it’s all linear. The pictures of famous statisticians provide a good way of remembering what their tests do, especially Mahalanobis staring into his distances.ĭSUS is refreshingly honest about the subjectivity of data analysis, that is, of decisions about which test can best answer a question rather than whether two squared is four or not. Jane Superbrain might make DSUS more accessible for undergraduates but when, after a few years, you just want to check one detail of one test she can get a bit tiresome. If anything, though, there are now just too many and their character development is so restricted that they end up looking like a bit of a gimmick, and being a bit of a distraction: Oditi’s lantern, one of the new ones, ends up being an eight-line signpost to an online video tutorial. Labcoat Leni is a good one, providing data from real research studies, though often with an informal twist, like the one about the relationship between the ratings of the attractiveness of women and their tendency to gossip. There are lots of other characters with their own little narratives too. See? Charming and illustrative! In fact, the device of using stories about growing up to reflect the increasing complexity of the concepts and techniques described makes for a book that you might actually want to read even when you don’t have to, just to see what happens next. For example, Chapter 5 ‘The beast of bias’ starts with the story of how young Andy wanted to be a football goalkeeper just like his granddad despite being impractically short for the role. This is a statistics book that seeks to make stats more warm-and-fuzzy then cold-sweat.įield quite deliberately weaves stories about his personal life throughout the book, beginning each chapter with an anecdote that alludes to the subject of that chapter.
Field has a self-deprecating way of pretending to be a mere psychologist while explaining complex statistical concepts in a way that demonstrates a better understanding than Mann, Whitney, and Hugh put together. There are hidden references to Iron Maiden songs throughout. The author is on Twitter and tweets about cats a lot. It used to be called “Discovering statistics using SPSS and sex and drugs and rock ‘n’ roll” but the fourth edition has relegated the sex and drugs and rock ‘n’ roll to the inside cover, where you’ll also see lots of pictures of cats.
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