A Practical Introduction
`There are few people who can write about research methods in a lively and engaging way, but Miles and Banyard are amongst them. As well as being an exceptionally clear introduction to research methods, it is full of amusing asides and anecdotes that make you want to read more. A hugely enjoyable book' - Dr Andy Field, University of Sussex Understanding and Using Statistics in Psychology takes the fear out of psychological statistics to help students understand why statistics are carried out, how to choose the best test and how to carry out the tests and understand them. Taking a non-technical approach, it encourages the reader to understand why a particular test is being used and what the results mean in the context of a psychological study, focusing on meaning and understanding rather than mindless numerical calculation. Key features include: - A light and accessible style - Descriptions of the most commonly used statistical tests and the principles that underlie them - Real world examples to aid the understanding of why statistics are valuable - Boxes on common errors, tips and quotes - Test yourself questions The perfect introductory resource, Understanding and Using Statistics in Psychology will guide any student new to statistics effortlessly through the process of test selection and analysis. (Read Jeremy Miles's blog and access other useful information on statistics now at www.jeremymiles.co.uk)
Optional. Extra. Interestingly (well, we think it's interesting), Bonferroni didn't have
a greatdeal to do withBonferroni correction. The proofrequired for Bonferroni
correction relies on Boole's inequality (which Bonferroni extended, but this
extension wasn't needed for Bonferroni correction). It was actually first applied by
Dunn (1961) andhence issometimes known as Dunn'scorrection. Thisisa further
example of Stigler's lawof eponymy, which we described in Chapter2, page 20.