This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures. It is also a guide to getting started with SPSS, and includes screenshots to illustrate explanations. With examples specific to social sciences, this text is essential for any student in this area.
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Faiza Qureshi
‘This book will be invaluable for even the most nervous student because it combines thorough statistical explanations with clear, step by step instructions for using SPSS.’ Dr Jamie Harding, Northumbria University
"At last a Social Science Stats, Methods and Analysis text, usable and useful for all levels - brilliant!" Jeanette Garwood, Leeds Metropolitan University
Introduction to Statistics with SPSS for Social Science is the complete guide to statistics and SPSS for social science students. Its range is exceptional in order to meet students' needs throughout their undergraduate degree and beyond.
By keeping to simple mathematics, a step-by-step explanation of all important statistical concepts, tests and procedures ensures that students understand the data analysis properly. The text also offers extensive coverage of statistical techniques and how SPSS can handle and manipulate all kinds of data. Just follow the screenshots and commentary in order to carry out the perfect analysis for the simplest or most complex data.
Adapted from the highly successful Howitt and Cramer textbooks, this is an essential text for all social science students of research methods and statistics from introductory through to more advanced levels.
Key features
This book is supported by a companion website featuring downloadable datasets from the book and a glossary. Go to www.pearsoned.co.uk/norris
Gareth Norris is Lecturer in Criminology at Aberystwyth University and Faiza Qureshi is Lecturer in Criminology at City University, London.
Dennis Howitt is Reader in Psychology and Duncan Cramer is Professor of Psychology at Loughborough University.
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