SPSS for Psychologists
7th Edition
Published on 10. November 2020
Book
Paperback/Softback
XIII, 490 pages
978-1-352-00994-1 (ISBN)
Description
Students can find statistical analysis a challenging and complex task and, in order to master the techniques and complete their assignments and projects successfully, they need to have a sound understanding of IBM SPSS and its functions. Updated to be compatible with IBM SPSS 25, with handy screen-shots throughout, the seventh edition of this trusted and practical textbook will take students on a step-by-step journey towards carrying out a range of essential tasks with confidence: from performing an analysis to interpreting outputs and reporting the results.
This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool.
This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool.
More details
Edition
7th ed. 2021
Language
English
Place of publication
London
United Kingdom
Publishing group
Bloomsbury Publishing PLC
Target group
College/higher education
Dimensions
Height: 260 mm
Width: 193 mm
Thickness: 26 mm
Weight
1041 gr
ISBN-13
978-1-352-00994-1 (9781352009941)
DOI
10.26777/978-1-352-00995-8
Schweitzer Classification
Other editions
Additional editions
Virginia Harrison | Richard Kemp | Nicola Brace
SPSS for Psychologists
E-Book
11/2020
7th Edition
Bloomsbury Academic
€38.49
Available for download
Previous edition
Book
04/2016
6th Edition
Red Globe Press
€40.65
Article exhausted; check for reprint
Persons
Virginia Harrison is a Senior Lecturer in Psychology at the Open University, UK.
Richard Kemp is Associate Professor in Psychology at the University of New South Wales, Australia.
Nicola Brace was a Senior Lecturer in Psychology at the Open University, UK.
Rosemary Snelgar was Principal Lecturer in Psychology at the University of Westminster, UK.Content
1. Introduction.- 2. Data entry in SPSS.- 3. Exploring, cleaning and graphing data in SPSS.- 4. Data handling.- 5. Tests of difference for one- and two-sample designs.- 6. Tests of correlation and bivariate regression.- 7. Tests for nominal data.- 8. One-way analysis of variance.- 9. Factorial analysis of variance.- 10. Multiple regression.- 11. Analysis of covariance and multivariate analysis of variance.- 12. Discriminant analysis and logistic regression.- 13. Factor analysis and reliability and dimensionality of scales.- 14. Using syntax and other useful features of SPSS.