SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM Spss

“This is the ‘must have’ book for anyone who wants to use SPSS.” Julia Robertson, University of Buckinghamshire, UK “An excellent introduction to using SPSS for data analysis …It provides a self-contained resource, with more than simply (detailed and clear) step by step descriptions of statistical procedures in SPSS.” Associate Professor George Dunbar, University of Warwick, UK “The book provides a no nonsense approach to understanding SPSS. With step by step explanations to carrying out data analysis it is a welcome addition to any social science student.” Gail Steptoe Warren, University of Coventry, UK “Doing statistics is just like following a cooking recipe, you have to do it step by step. This book offers just that, a step by step guide to all of the main statistics you need to learn …It has become a must havego-to reference text for established researchers and students alike!” Alison Attrill, De Montfort University, UK The SPSS Survival Manual throws a lifeline tostudents and researchers grappling with this powerfuldata analysis software. In her bestselling guide, now covering up to version 21 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the rightdata 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 data output and an example of how to present the results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manualis an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This fifth edition is fully revised and updated to accommodate changes to IBM SPSS version 21 procedures, screens and output. Additional recommended readings andwebsites have been added.

Table of Contents

Part One Getting started
Chapter 1 Designing a study
Chapter 2 Preparing a codebook
Chapter 3 Getting to know IBM SPSS

Part Two Preparing the data file
Chapter 4 Creating a data file and entering data
Chapter 5 Screening and cleaning the data

Part Three Preliminary analyses
Chapter 6 Descriptive statistics
Chapter 7 Using graphs to describe and explore the data
Chapter 8 Manipulating the data
Chapter 9 Checking the reliability of a scale
Chapter 10 Choosing the right statistic

Part Four Statistical techniques to explore relationships among variables
Chapter 11 Correlation
Chapter 12 Partial correlation
Chapter 13 Multiple regression
Chapter 14 Logistic regression
Chapter 15 Factor analysis

Part Five Statistical techniques to compare groups
Chapter 16 Non-parametric statistics
Chapter 17 T-tests
Chapter 18 One-way analysis of variance
Chapter 19 Two-way between-groups ANOVA
Chapter 20 Mixed between-within subjects analysis of variance
Chapter 21 Multivariate analysis of variance
Chapter 22 Analysis of covariance