Combining comprehensive coverage with an accessible style, the new edition of this best-selling guide leads users step-by-step through the process of using IBM SPSS version 23 to analyze research data. The authors review the basic issues regarding research design and proceed through all of the major statistical techniques, from introductory to advanced level. Readers are introduced to the rationale and use of each test and shown how to choose, perform, and report the statistical analysis of their own data. Each statistical test features a brief description, an example of typical research that might be analyzed using the test and step-by-step instructions on how to perform the test using IBM SPSS. Annotated examples of output help readers understand and report the results of their analyses. Sample screenshots and key ‘tip’ boxes help readers track their progress and avoid common pitfalls. Sample exercises and datasets are available at www.he.palgrave.com/psychology/brace. Whether you’re new to statistical analysis, or a more experienced researcher in need of a refresher, this book is an essential resource for those who use IBM SPSS.
The sixth edition of SPSS for Psychologists (and everybody else):
An ideal supplement for courses in statistics, quantitative analysis or techniques, research methods, research (experimental design) or any course in which IBM SPSS is used this book is also appreciated by researchers interested in using SPSS for their data analysis.
"I found the book very clear and intuitive in both its layout and writing style. The step-by-step walkthroughs and figures will prove invaluable to both undergraduate and postgraduate Psychology students alike in trying to navigate SPSS. The writing style reaches a good balance of being not overly technical or patronising to the reader!" –Jonathan Catling, University of Birmingham, UK
"A thorough guide for undergraduate students. Lots of illustrations with useful comments that will make it easier for students to understand why they are doing what they are doing, and pitched at the right level – academic rigour perfectly balanced with student-friendly language. The authors have a knack for making complex concepts accessible. The complementary exercises are an added asset." – Ana Fernández, Canterbury Christ Church University, UK
1. Introduction 2. Data entry in SPSS 3. Exploring and cleaning 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. Analysis of variance 9. Multiple regression 10. Analysis of covariance and multivariate analysis of variance 11. Discriminant analysis and logistic regression 12. Factor analysis, and reliability and dimensionality of scales 13. Using syntax and other useful features of SPSS