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Research Methods and Statistics in Psychology


Research Methods and Statistics in Psychology

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    Available in PDF Format | Research Methods and Statistics in Psychology.pdf | English
    Hugh Coolican(Author)
This sixth edition of Research Methods and Statistics in Psychology has been fully revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook.New features in the sixth edition include:"Tricky bits" - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes.Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis.A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print.Discussion of contemporary issues and debates, including recent coverage of journals� reluctance to publish replication of studies.Fully updated online links, offering even more information and useful resources, especially for statistics.Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website ( provides additional exercises, revision flash cards, links to further reading and data for use with SPSS.

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Book details

  • PDF | Unknown pages
  • Hugh Coolican(Author)
  • Psychology Press; 6 edition (30 Sept. 2017)
  • English
  • 3
  • Health, Family & Lifestyle
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Review Text

  • By Denise Connolly on 23 August 2016

    Was very useful for when I was doing my course at uni. It was one of the recommended books.

  • By anonymous on 29 April 2017

    It is a very good book and it explains statistics very well.

  • By Guest on 14 August 2017

    Loved it!

  • By Miss D. Smart on 6 December 2012

    I bought this to help with a research module of my MSc.The style of the writing is very accessible and would be great for anyone who didn't really get on with maths or stats at school. But equally, it doesn't patronise those of us who are comfortable with the numbers.Book covers many areas of qualitative and quantitative methodologies and also gives coding for using SPSS.Highly recommended!

  • By Mrs. Danielle F. Kaye on 9 August 2009

    Psychology students are too often terrified of the more rigorous elements in their discipline: the business of design, measurement, assessment, statistical testing and interpretation.Hugh Coolican's work is pitched at precisely the right level: Not so basic as to be patronising, not so elevated as to be impenetrable. His language is splendid: he presents rigorous concepts clearly yet light-heartedly, holds the reader's hand from first principles and rationales for the various approaches, methods and techniques involved in good research to the use of SPSS (command by command) and the interpretation of outcomes. Refreshingly, his section on qualitative and mixed methods is strong and very rationally assessed, an element that is too often missing from other books on research methods.Along the way students have an opportunity to check their own understanding through intelligently organised and presented self-test questions.As a Psychology teacher as well as postgraduate student I can recommend this book without any reservation at all; it belongs in every serious Psychology student's bookcase.

  • By Kelly V. on 18 January 2003

    This is a pretty good introduction to statistics, especially for complete beginners. I had to buy it for a course, and at first wasn't too impressed with it, primarily because of the writing style. The author keeps the tone very light and says many jokes and funny things, which never bothered me. What did irritate me was that he also has a tendency to really "dumb-down" everything, to the point where you feel like it has been written for younger students, rather than university students (which I gather it sort of was).However, I figured out after working my way through the course that the text is actually pretty good: it covers several statistical tests that other texts skip. Tests detailed include: binomial sign test, Chi-square, Wilcoxon matched pairs signed ranks, Mann-Whitney U, Wilcoxon rank sum, t test, Pearson's correlation, Spearman's rho, regression (including multiple), Kruskal-Wallis, Jonkheere trend, Friedman, Page trend, ANOVA (one-way, two-way, more-than-two-way, unrelated and related), MANOVA, ANCOVA. It also covers the design of experiments in detail. And the author really does make an effort to explain everything fully, for readers who have neither a statistical background nor even a strong maths background. It serves as a really good reference, even if reading it is a bit painful.In short, I doubt this is the best statistics book out there, but it is the best statistics reference book I've seen yet. So I would recommend it if you are starting from scratch. But if you are comfortable with maths or even basic statistics, I wouldn't bother this book, as I'm sure you'll find it as irritating to read as I did.

  • By Julian Richards on 13 August 2011

    The opening chapters in particular are very clear and effective, using humour and anecdote to lead the reader step by step into the deeper complexities of the subject. Sometimes he becomes a little irritatingly opinionated as to the right way to do things and the failings of other teachers, and he appears to have little sympathy for the avant-garde of qualitative research. The biggest problem, though, is that proofreading seems to have fallen off in my edition (2009), with some sloppy punctuation and inaccurate cross-references. I feel that his explanatory zeal rather runs out of steam when it comes to the nitty-gritty of statistical tests.

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