Discovering Statistics Using SPSS
Written in his vivid and entertaining style, Andy Field provides students with everything they need to understand, use and report statistics—at every level—in the Third Edition of Discovering Statistics Using SPSS. Retaining the strong pedagogy from previous editions, he makes statistics meaningful by including playful examples from everyday student life (among other places), creating a gateway into the often intimidating world of statistics. In the process, he presents an opportunity for students to ground their knowledge of statistics through the use of SPSS.
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This book is overly long and verbose. As a student I found it difficult to read and to review the material for exams and assignments. The author includes much irrelevant material from his childhood including photos of homelife, and lame attempts at humour in a comic-book style of text. He uses 'characters' to explain some of the concepts - such as Labcoat Lenni, Jane Superbrain - but doesn't make it clear why this approach would suit adults or anyone trying to get a clear and concise explanation of stats. Because of the irrelevant and useless material, it is a chore to plough through the book to find the genuine material in a quick and easy manner. Instead of padding the book out with juvenile diversions, the author should have provided more summaries of the material in a manner that would make the study of the work more memorable and accessible.
This is a really bad book and I certainly recommend people look elsewhere for a more rewarding learning experience.
Easy language, easy to understanding, very applied. I actually read the second edition and some chapters of the third edition and I enjoyed!
1 Why is my evil lecturer forcing me to learn statistics?
2 Everything you ever wanted to know about statistics well sort of
3 The SPSS environment
4 Exploring data with graphs
5 Exploring assumptions
8 Logistic regression
14 Mixed design ANOVA GLM 5
15 Nonparametric tests
16 Multivariate analysis of variance MANOVA
17 Exploratory factor analysis
18 Categorical data
19 Multilevel linear models
Life After Discovering Statistics