Brysbaert and Brace Value Pack
Will be published approx. on 17. June 2011
Book
Mixed media product
978-0-230-29956-6 (ISBN)
Description
An essential bundle that provides a complete statistics and SPSS solution for undergraduate Psychology students. Basic Statistics for Psychologists is fully integrated with the highly successful SPSS for Psychologists and the two books together offer a comprehensive step-by-step introduction to statistics and their use in Psychology.
More details
Language
English
Place of publication
Basingstoke
United Kingdom
Target group
College/higher education
Dimensions
Height: 246 mm
Width: 191 mm
Thickness: 44 mm
Weight
1957 gr
ISBN-13
978-0-230-29956-6 (9780230299566)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
BASIC STATISTICS FOR PSYCHOLOGISTS MARC BRYSBAERT is currently Research Professor of Psychology at Ghent University, Belgium, and was until recently Professor of Psychology at Royal Holloway, University of London, where he taught both statistics and research methods. SPSS FOR PSYCHOLOGISTS NICOLA BRACE is Senior Lecturer in Psychology at the Open University, UK RICHARD KEMP is Senior Lecturer in Psychology at the University of New South Wales, Australia ROSEMARY SNELGAR is Principal Lecturer in Psychology at the University of Westminster, UK
Content
BASIC STATISTICS FOR PSYCHOLOGISTS Preface Using statistics in psychology research Summarising data using the frequency distribution Summarising data using measures of central tendency Summarising data using measures of variability Standardised scores, normal distribution and probability Using the t-test to measure the difference between independent groups Interpreting the results of a statistical test Using non-parametric tests to measure the difference between independent groups Using the t-test to measure change in related samples Using non-parametric tests to measure change in related samples Improving predictions through the Pearson correlation coefficient Improving predictions through non-parametric tests: The Spearman rank correlation and the chi-square test for independence Using analysis of variance (ANOVA) to compare more than two conditions Post-hoc tests in ANOVA and multiple regression analysis SPSS FOR PSYCHOLOGISTS Introduction Data Entry in SPSS Exploring Data in SPSS Data Handling Tests of Difference for Two Sample Designs Tests of Correlation Tests for Nominal Data Analysis of Variance Multiple Regression Analysis of Covariance and Multivariate Analysis of Variance Discriminant Analysis and Logistic Regression Factor Analysis, and Reliability and Dimensionality of Scales Beyond the Basics