Overview

Written by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students’ confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential reading for undergraduate psychology students taking courses in research methods and statistics. New to this Edition: - Chapters on Bayesian analysis, mixed-effects models, and multiple regression analysis - Coverage of jamovi and JASP, two free statistical packages

Full Product Details

Author:   Marc Brysbaert
Publisher:   Bloomsbury Publishing PLC
Imprint:   Red Globe Press
Edition:   2nd edition
Weight:   1.202kg
ISBN:  

9781137607461

ISBN 10:   1137607467
Pages:   560
Publication Date:   30 October 2019
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

1. Using statistics in psychology research 2. Summarising data using the frequency distribution 3. Summarising data using measures of central tendency 4. Summarising data using measures of variability 5. Standardised scores, normal distribution and probability 6. Using the t-test to measure the difference between independent groups 7. Interpreting the results of a statistical test: The traditional approach 8. Interpreting the results of a statistical test: The Bayesian approach 9. Non-parametric tests of difference between independent groups 10. Using the t-test to measure change in related samples 11. Non-parametric tests to measure changes in related samples 12. Improving predictions through the Pearson correlation coefficient 13. Improving predictions through non-parametric tests 14. Using analysis of variance as an extension of t-tests 15. Using analysis of variance for designs with more than one independent variable 16. More than one predictor in correlational studies: Multiple regression 17. More than one observation per condition per participant: Mixed-effects analysis.

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Author Information

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. 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.

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