Synopses & Reviews
"It reads as though someone is sitting next to you conversing with you and taking you through it ... It has a reassuring tone. Julie Pallant writes in a kind and inclusive way which students appreciate." Sue Thorpe, Lecturer in Research Methods, Department of Psychology, University of Surrey, UK.
"Its key strengths are clarity, clear English, clear explanations, and clear examples. What this book does well is to provide easy, straightforward explanations."
Martin Lea, Senior Lecturer, School of Psychological Sciences, University of Manchester, UK.
"An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided."
Associate Professor George Dunbar, Department of Psychology, University of Warwick, UK.
Julie Pallant's SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.
In this thoroughly revised edition of her bestselling text, now covering up to version 18 of the SPSS software, 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 easy to follow 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. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non_parametric Statistics chapter. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is THE 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.
Review
and#8220;This book is an easy and informative readand#8212;an excellent introduction to SPSS for the novice, and a handy reference guide for the more experienced user who needs to refresh their memory.and#8221;
Review
andldquo;Cole Davisandrsquo;s new book is practical, well written, and very reader friendly, especially by those who are not or would not describe themselves as mathematicians or skilled in the science of numbers. For those wanting to use SPSS, this book clearly explains what the software can do and how to achieve its potential. I particularly liked the way the book does not assume (as so many manuals do) that we are all familiar with statistical terms. It explains what they mean and offers practical examples of how they are used.and#160;As a freelance researcher engaged in many areas of social investigation, I would strongly recommend this book both as a practical and easy to understand guide to the use of SPSS but also for its valuable introduction to data analysis and statistics.andrdquo;
Review
andldquo;The text is clear and well-illustrated. . . . This is a useful book for students and people who are fairly new to social research. It covers a range of non-parametric tests which are often overlooked.andrdquo;
Synopsis
International Bestseller! The SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.
In this thoroughly revised fourth 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 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 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.
In this fourth edition all chapters have been updated to accommodate changes to procedures, screens and output. A new flowchart is included for general procedures, and factor analysis procedures have been streamlined. It includes extra examples and material on syntax. Additional data files are available on the book's support website.
Synopsis
It reads as though someone is sitting next to you conversing with you and taking you through it ... It has a reassuring tone. Julie Pallant writes in a kind and inclusive way which students appreciate.
Sue Thorpe, Lecturer in Research Methods, Department of Psychology, University of Surrey, UK.
Its key strengths are clarity, clear English, clear explanations, and clear examples. What this book does well is to provide easy, straightforward explanations.
Martin Lea, Senior Lecturer, School of Psychological Sciences, University of Manchester, UK.
An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided.
Associate Professor George Dunbar, Department of Psychology, University of Warwick, UK.
Julie Pallant's SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software.
In this thoroughly revised edition of her bestselling text, now covering up to version 18 of the SPSS software, 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 easy to follow 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. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non_parametric Statistics chapter. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is THE 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.
Synopsis
SPSS Step by Step is a concise overview for beginning and intermediate statistical test users. Clearly writtenandmdash;and without relying on mathematical formulasandmdash;it covers topics such as qualitative data analysis, multiple regression, survival analysis, and factor analysis. A logically ordered guide to analyzing everyday problems, it will prove invaluable for undergraduate and postgraduate students and academics undertaking or teaching research and will also be of interest to professionals in social work, criminal justice, health, and education.
About the Author
Julie Pallant has spent many years helping students overcome 'statistics phobia'. She is 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 number of universities.
Table of Contents
Preface
Data files and website
Introduction and overview
Part One: Getting started
Designing a study
Preparing a codebook
Getting to know SPSS
Part Two: Preparing the data file
Creating a data file and entering data
Screening and cleaning the data
Part Three: Preliminary analyses
Descriptive statistics
Using graphs to describe and explore the data
Manipulating the data
Checking the reliability of a scale
Choosing the right statistic
Part Four: Statistical techniques to explore relationships among variables
Correlation
Partial correlation
Multiple regression
Logistic regression
Factor analysis
Part Five: 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
Appendix: Details of data files
Recommended reading
References
Index