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SPSS for Psychologists

Autor Virginia Harrison, Richard Kemp, Nicola Brace, Rosemary Snelgar
en Limba Engleză Paperback – 9 noi 2020
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.Accompanying online resources for this title can be found at bloomsburyonlineresources.com/spss-for-psychologists. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
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Specificații

ISBN-13: 9781352009941
ISBN-10: 1352009943
Pagini: 504
Dimensiuni: 193 x 260 x 23 mm
Greutate: 1.18 kg
Ediția:7th ed. 2021
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom

Caracteristici

Compliance with IBM SPSS version 25, and is backward-compatible with previous versions of the software

Notă biografică

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.

Cuprins

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.