SPSS Survival Manual

A step by step guide to data analysis using IBM SPSS
7. Auflage 2020
ISBN: 978-1-76087-553-4
Verlag: Routledge

Buch, Englisch, 378 Seiten, Format (B × H): 203 mm x 254 mm, Gewicht: 809 g

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

In her bestselling manual, 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 through to advanced statistical techniques. She outlines each technique clearly, providing step by step procedures for performing your analysis, a detailed guide to interpreting data output and examples of how to present your 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 seventh edition is fully revised and updated to accommodate changes to IBM SPSS Statistics procedures, screens and output.

A website with support materials for students and lecturers is available at https://routledgetextbooks.com/textbooks/9781760875534/

Zielgruppe

Undergraduate Core

Autoren/Hrsg.

Pallant, Julie

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden

Inhaltsverzeichnis

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 Statistics

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

Über Autor(innen)

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. She now works as a research and statistical consultant internationally.