SPSS Survival Manual by Julie PallantSPSS Survival Manual by Julie Pallant

SPSS Survival Manual

byJulie Pallant

Spiral Bound | May 16, 2013

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"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.

Julie Pallant has spent many years helping students overcome 'statistics phobia'. She is Associate Professor and Director of Research and Graduate Studies in the Rural Health Academic Centre at the University of Melbourne. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a numb...
Title:SPSS Survival ManualFormat:Spiral BoundDimensions:10.04 × 8.86 × 1.1 inPublished:May 16, 2013Publisher:McGraw-Hill EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0335262589

ISBN - 13:9780335262588

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Rated 5 out of 5 by from Lifesaver!! This book was a crash course in statistics and SPSS software. As a graduate student, my supervisor was very hands-off when it came to statistics and SPSS nor were there practical courses at my institution that met my needs...behold the SPSS Survival Manual! It has been six years since I purchased it and it is a resource I still turn to!
Date published: 2017-01-24

Table of Contents

Data files and website
Introduction and overview

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

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

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

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

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

Appendix: Details of data files
Recommended reading