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

Author:   Julie Pallant
Publisher:   Open University Press
Edition:   4th Revised edition
ISBN:  

9780335242399


Pages:   352
Publication Date:   01 November 2010
Format:   Spiral bound
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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


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Overview

"'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."

Full Product Details

Author:   Julie Pallant
Publisher:   Open University Press
Imprint:   Open University Press
Edition:   4th Revised edition
Dimensions:   Width: 22.10cm , Height: 2.60cm , Length: 25.40cm
Weight:   0.808kg
ISBN:  

9780335242399


ISBN 10:   0335242391
Pages:   352
Publication Date:   01 November 2010
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Spiral bound
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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

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Author Information

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.

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