Menu Expand
Basic Statistics for Psychologists

Basic Statistics for Psychologists

Marc Brysbaert

(2011)

Additional Information

Book Details

Abstract

Basic Statistics for Psychologists combines clear explanations of statistical concepts and tests with a guide to using SPSS, providing an invaluable resource for psychology students. Highly readable and with innovative learning features throughout, this book offers a comprehensive introduction to statistics and their use in social science

"I very much liked the overall approach of the book. It is well structured and student friendly."Judi Smith, School of Psychology, University of Liverpool, UK

"A comprehensive core text that covers all areas of undergraduate statistics and is easy to read. The formulas and calculations are well-presented and explained with a clear overall approach and a logical order of topics. It is a useful resource for psychology students and a helpful introduction to statistics in general."

Toon Cillessen, Nijmegen, Netherlands


MARC BRYSBAERT is currently Research Professor of Psychology at Ghent University, Belgium. Previously he was Professor of Psychology at Royal Holloway, University of London, where he taught both statistics and research methods and developed this textbook.
Marc has extensive publishing experience and has written the market-leading book on 'Conceptual and Historical Issues in Psychology', published by Pearson, as well as a Dutch Handbook of Psychology, and more.
An entry level statistics text that provides a firm and logical foundation for building students' statistical knowledge and confidence. Combines clear explanations of concepts and tests with concise guide to using SPSS. In addition, detailed guides to using Excel and R in conjunction with this book are available on its companion website.

With an engaging modern design and plenty of student-friendly pedagogical features to support the reader, including tips performance and learning checks and recaps, lecturers can be reassured that their students will gain a comprehensive understanding of the 'maths behind stats', taking the fear out of this sometimes difficult-to-grasp subject.

Table of Contents

Section Title Page Action Price
Cover Cover
Table of contents iii
Preface viii
Tour of book xii
Symbols and abbreviations xiv
1 Using statistics in psychology research 1
2 Summarising data using the frequency distribution 25
3 Summarising data using measures of central tendency 59
4 Summarising data using measures of variability 76
5 Standardised scores, normal distribution and probability 92
6 Using the t-test to measure the difference between independent groups 122
7 Interpreting the results of a statistical test 162
8 Non-parametric tests of difference between independent groups 199
9 Using the t-test to measure change in related samples 223
10 Non-parametric tests to measure changes in related samples 243
11 Improving predictions through the Pearson correlation coefficient 261
12 Improving predictions through non-parametric tests 298
13 Using analysis of variance for multiple independent variables 319
14 Going further: more than two levels and multiple predictors 357
References 391
Appendices 393
Index 407