PART ONE: DESIGNING AN EXPERIMENT
Before You Begin
Planning an Experiment
Experimental Designs
PART TWO: ANALYZING AND INTERPRETING DATA
Descriptive Statistics
Inferential Statistics
Parametric Tests
Non-Parametric Tests
Choosing a Statistical Test
PART THREE: WRITING UP YOUR RESEARCH
A Quick Guide to Writing a Psychology Lab-Report
General Points When Writing a Report
Answering the Question ′Why?′
The Introduction Section
Answering the Question ′How?′
The Method Section
Answering the Question ′What Did I Find?′
The Results Section
Answering the Question ′So What?′
The Discussion Section
Title, Abstract, Reference and Formatting
Example of an Experimental Write-up
Andy Field is Professor of Quantitative Methods at the
University of Sussex. He has published widely (100+ research
papers, 29 book chapters, and 17 books in various editions) in the
areas of child anxiety and psychological methods and statistics.
His current research interests focus on barriers to learning
mathematics and statistics.
He is internationally known as a statistics educator. He has
written several widely used statistics textbooks
including Discovering Statistics Using IBM SPSS
Statistics (winner of the 2007 British Psychological Society
book award), Discovering Statistics Using R, and An
Adventure in Statistics (shortlisted for the British
Psychological Society book award, 2017; British Book Design and
Production Awards, primary, secondary and tertiary education
category, 2016; and the Association of Learned & Professional
Society Publishers Award for innovation in publishing, 2016), which
teaches statistics through a fictional narrative and uses graphic
novel elements. He has also written
the adventr and discovr packages for the
statistics software R that teach statistics and R through
interactive tutorials.
His uncontrollable enthusiasm for teaching statistics to
psychologists has led to teaching awards from the University of
Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological
Society (2006) and a prestigious UK National Teaching fellowship
(2010).
He′s done the usual academic things: had grants, been on editorial
boards, done lots of admin/service but he finds it tedious trying
to remember this stuff. None of them matter anyway because in the
unlikely event that you′ve ever heard of him it′ll be as the ′Stats
book guy′. In his spare time, he plays the drums very noisily in a
heavy metal band, and walks his cocker spaniel, both of which he
finds therapeutic.
This book is highly recommended for Undergraduate and Postgraduate
students and even trainee clinical psychologists who need a quick
revision of statistical concepts and experimental designs. My only
regret was not purchasing this book during my early Undergraduate
years, I have read and re-read countless books on the same
phenomena, and despite the detail these books comprise of, they
have never been able to impact on me the way this book has. Without
sounding too much like a cliché’, if your only ever going to buy
one statistical and research book, it has to be this one. Consider
this the bible of all things statistically related!
M. L
Psych Me Up! I strongly recommend this book. The all-important
steps of defining the research question and choosing an appropriate
method are clearly written by these experienced authors and by
doing so provide a framework, which if followed, would avoid many
of the common difficulties encountered by those in training. The
book is a succinct, clear, and readable treatise on this extremely
important area. It should prove to be invaluable to researchers,
practicing social scientists, students and anyone involved in the
design and reporting of experiments
Social Psychological Review
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