Overview

Statistics Explained, now in its fully revised Fourth Edition, is for students and researchers who wish to understand the statistical analyses used to analyse quantitative (numerical) research data in a wide range of academic disciplines, in particular, the behavioural, human and social sciences. This book explains, in a clear and informative manner, the logic of statistical analysis, in particular the null hypothesis significance testing (NHST) method. Using this method, a range of statistical tests have been devised for different types of data. Each of these tests is explained in the book by adopting a step-by-step (“walkthrough”) approach with a specific illustrative example. Crucially, these explanations do not require the reader to have an advanced knowledge of mathematics or statistics, but only assumes the basic mathematics which most readers will have learnt at high school. The book also examines the criticisms of NHST and introduces the reader to Bayesian statistics. As a result the reader will be able to critically evaluate the outcomes of statistical analysis both of their own work and that of others. Statistics Explains will be of great interest to students and researchers in the behavioural, human and social sciences in understanding both the outcomes of their own research and also the research reports in the academic journals.

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""Statistical methods are an integral part of teaching and research in almost all disciplines in the age of data revolution. The authors have presented introductory, descriptive, and numerical methods, as well as univariate and multivariate model fitting and inferential statistical procedures in a very clear, simplified, and step-by-step illustrative way. This book will be helpful to college and university students, teachers, and researchers who wish to analyse and interpret observational and experimental data from different disciplines across the world."" -- Professor Dr Shahjahan Khan, Vice Chancellor, Asian University of Bangladesh, Dhaka, Bangladesh

"""Statistical methods are an integral part of teaching and research in almost all disciplines in the age of data revolution. The authors have presented introductory, descriptive, and numerical methods, as well as univariate and multivariate model fitting and inferential statistical procedures in a very clear, simplified, and step-by-step illustrative way. This book will be helpful to college and university students, teachers, and researchers who wish to analyse and interpret observational and experimental data from different disciplines across the world."" -- Professor Dr Shahjahan Khan, Vice Chancellor, Asian University of Bangladesh, Dhaka, Bangladesh"

Author Information

Perry R. Hinton is a professor of applied linguistics at the University of Warwick, UK. He has a background in psychology, with research expertise in stereotypes and intercultural relations. He has, for many years, taught statistical analysis to a range of students, including from psychology, linguistics, education, communication and media studies, sociology, nursing and social work. As well as his publications in social and cultural psychology, he is also joint author of SPSS Explained (2023) and Presenting Your Data with SPSS Explained (2017), both published by Routledge.

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