Description
Book SynopsisSPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy-to-follow screenshots at each stage of the process. A number of other helpful features are provided, including:
- regular advice boxes with tips specific to each test
- explanations divided into essential' and advanced' sections to suit readers at different levels
- frequently asked questions at the end of each chapter
The third edition of this popular book has been fully updated for IBM SPSS version 27 and also includes:
- a new chapter on how to undertake mediation and moderation with SPSS
- updates on changes to SPSS, including updated functionality within ANOVAs and calculations of a priori power analysis
Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with online support mater
Trade Review
'Statistical methods are an integral part of teaching and research in almost all disciplines in the age of data revolution. The authors have presented introductory, descriptive, and numerical methods, as well as univariate and multivariate model fitting and inferential statistical procedures in a very clear, simplified, and step-by-step illustrative way. This book will be helpful to college and university students, teachers, and researchers who wish to analyse and interpret observational and experimental data from different disciplines across the world.'
Professor Dr Shahjahan Khan, Vice Chancellor, Asian University of Bangladesh, Dhaka, Bangladesh
Table of Contents1. Introduction
2. Data entry
3. Descriptive statistics
4. Illustrative statistics
5. Introduction to statistical testing
6. t tests
7. Introduction to analysis of variance (general linear model)
8. One-factor analysis of variance
9. Two-factor analysis of variance
10. Introduction to multivariate analysis of variance
11. Nonparametric two sample tests
12. Nonparametric k sample tests
13. Chi-square test of independence and goodness of fit test
14. Linear correlation and regression
15. Multiple regression and multiple correlation
16. Moderation and mediation
17. Introduction to factor analysis
18. Using SPSS to analyse questionnaires: reliability
18. Using SPSS to analyse questionnaires: reliability
