Pt. II, Preparing a data file : -- Creating a data file and entering data -- Screening and cleaning the data.;Pt. IV, Statistical techniques to explore relationships among variables : -- Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis.;Pt. V, Statistical techniques to compare groups : -- Non-parametric statistics -- T-tests -- One-way analysis of variance -- Two-way between-groups ANOVA -- Mixed between-within subjects analysis of variance -- Multivariate analysis of variance -- Analysis of covariance.;This is a completely updated edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics Version 21, this text guides you through the entire research process & helps 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, it discusses basic and advanced statistical techniques. It outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. -- Résumé de l'éditeur.;Pt. III, Preliminary analyses : -- Descriptive statistics -- Using graphs to describe and explore the data -- Checking the reliability of a scale -- Choosing the right statistic.;Pt. I, Getting started : -- Designing a study -- Preparing a codebook -- Getting to know IBM SPSS.