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

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Description

The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.

In her bestselling guide, 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 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 sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non- parametric statistics, importing data, and calculating dates.

'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, University of Warwick

'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - Dr John Roodenburg, Monash University
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Product details

  • Book | 368 pages
  • 200 x 253mm
  • Sydney, Australia
  • 6th edition
  • 1760291951
  • 9781760291952
  • 1,256

Table of contents

Preface

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 15

PART TWO PREPARING THE DATA FILE

4 Creating a data file and entering data

5 Screening and cleaning the data

PART THREE PRELIMINARY ANALYSES

6 Descriptive statistics

7 Using graphs to describe and explore the data

8 Manipulating the data

9 Checking the reliability of a scale

10 Choosing the right statistic

PART FOUR STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS AMONG VARIABLES

11 Correlation

12 Partial correlation

13 Multiple regression

14 Logistic regression

15 Factor analysis

PART FIVE STATISTICAL TECHNIQUES TO COMPARE GROUPS

16 Non-parametric statistics

17 T-tests

18 One-way analysis of variance

19 Two-way between-groups ANOVA

20 Mixed between-within subjects analysis of variance

21 Multivariate analysis of variance

22 Analysis of covariance

Appendix: Details of data files

Recommended reading

References

Index
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About Julie Pallant

JULIE PALLANT has spent many years helping students overcome 'statistics phobia' in her roles as Director of Research and Graduate Studies in the Department of Rural Health at the University of Melbourne, and Senior Lecturer in Applied Statistics at Swinburne University. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.
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252 ratings
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