ESCP Europe

In this fully revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report. The statistical techniques covered include: descriptive statistics; correlation; multiple regression; logistic regression; factor analysis; T-tests; analysis of variance; multivariate analysis of variance; analysis of covariance; and, non-parametric tests. For both beginners and experienced SPSS users in psychology, education, business, sociology, health and related disciplines, the "SPSS Survival Manual" is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. from back cover.

Data files and website --- Introduction and overview --- PART ONE: GETTING STARTED --- 1. Designing a study --- 2. Preparing a codebook --- 3. Getting to know SPSS --- PART TWO: PREPARING THE DATA FILE --- 4. Creating a data file and entering data --- 5. Screening and cleaning the data --- PART THREE: PRELIMINARY ANALYSES --- 6. Descriptive statistics --- 7. Using graphs to describe and explore the data --- 8. Manipulating the data --- 9. Checking the reliability of a scale --- 10. Choosing the right statistic --- PART FOUR: Statistical techniques to explore relationships among variables --- 11. Correlation --- 12. Partial correlation --- 13. Multiple regression --- 14. Logistic regression --- 15. Factor analysis --- PART FIVE: STATISTICAL TECHNIQUES TO COMPARE GROUPS --- 16. Non-parametric statistics --- 17. T-tests --- 18. One-way analysis of variance --- 19. Two-way between-groups ANOVA --- 20. Mixed between-within subjects analysis of variance --- 21. Multivariate analysis of variance --- 22. Analysis of covariance --- Appendix: Details of data files --- Recommended reading --- References..