Overview

Features Worked examples from psychology Clearly written, without mathematical formulae Well-structured, for beginners and intermediate readers Comprehensive chapter on categorical analysis - not just 'Chi squared' Effect sizes and confidence intervals Clear explanation of factor analysis Covers MANOVA and logistic regression Covers partial correlations, survival analysis and cluster analysis Introduces Bayesian statistics Reproduces a well-received short chapter on making presentations Data sets and case studies on the website

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9781915500151

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Reviews

Statistics are the bane of many psychology students' lives and the main reason that they drop out of their courses (often in the first year), so it's refreshing when a resource comes along that makes statistics for psychologists straightforward, easy, even - dare we say? - enjoyable. This latest work is genuinely crystal-clear: it is easy to follow, has no obvious omissions and the contents are ordered and weighted appropriately. Utterly engaging throughout, the book builds nicely from the easy to the harder and the progress is gradual and seamless so even what's harder isn't actually difficult. We found the 'questions and answers' especially effective. Of an ideal length, and technically very sound, we should perhaps not be surprised, as the author has a track record in this area, having previously written on SPSS. We are confident that this will become an indispensable resource to students in the psychological sciences. There is no doubt that the market was crying out for this. It will appeal to both undergraduate and postgraduate students, not to mention practitioners like us. This is likely to be drawn on many a time, beginning from a student's first steps in psychology right through to becoming a fully Chartered Psychologist and practitioner. Academics might find it useful too. User-friendly, well planned and executed, this really couldn't be better! - Dr George Sik and Alex Pearce, eras Ltd Chartered Psychologists and Associate Fellows of the British Psychological Society This book turns what could be a rather grey topic into an engaging process of discovery. Much of this is down to the tone, which is affable and resolutely avoids any taint of the dry `expertism' sometimes associated with manuals of this kind. In fact, it is a book readily digested in one sitting, something marking it out against other introductions to research methods. This speed of reading is assisted by the lucid prose and the rarity with which the reader needs to re-read any of the sentences to gain their full sense. The structure, too, works well, in clearly demarcated sections, starting with a simple, effective introduction to data and hypothesis testing. Each statistical test is discussed effectively and economically, with instructions that are easy to follow. Throughout, the text is supported by clear and well-chosen illustrations. Additionally, the book contains practical exercises, with answers provided. This, of course, encourages the reader to practice and test their learning. A very worthwhile introduction, to my mind. - Nigel Rayment, Director, Magnified Learning

Author Information

The General Editor of the Statistics without Mathematics series at Vor Press is a researcher and data analyst with experience in psychology, government, business and the third sector, who is also well-known as an internationally published author of books on statistical testing.

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