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SPSS Survival Manual: A Step-by-Step Guide to Data Analysis Using IBM SPSS 8th edition [Pehme köide]

4.67/5 (12 hinnangut Goodreads-ist)
  • Formaat: Paperback / softback, 398 pages, kõrgus x laius: 254x178 mm, kaal: 770 g, 13 Tables, black and white; 162 Line drawings, black and white; 62 Halftones, black and white; 224 Illustrations, black and white
  • Ilmumisaeg: 11-Mar-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041096534
  • ISBN-13: 9781041096535
Teised raamatud teemal:
SPSS Survival Manual: A Step-by-Step Guide to Data Analysis Using IBM SPSS 8th editionSuurem pilt
  • Formaat: Paperback / softback, 398 pages, kõrgus x laius: 254x178 mm, kaal: 770 g, 13 Tables, black and white; 162 Line drawings, black and white; 62 Halftones, black and white; 224 Illustrations, black and white
  • Ilmumisaeg: 11-Mar-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041096534
  • ISBN-13: 9781041096535
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781041096535.html
Märksõnad:

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. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This eighth edition is fully revised and updated to accommodate changes to IBM SPSS statistics Version 31 procedures, screens and output.

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.



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

Arvustused

'Julie Pallant has a rare gift for making statistics feel less daunting. This book continues to be my go-to recommendation for researchers new to SPSS it walks readers through each step in a reassuring, accessible way, making even the most technical concepts feel manageable. The updated edition maintains everything that has made this book a classic, while ensuring alignment with the latest versions of SPSS''. Dr Lyn Lavery, Director, Academic Consulting'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

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; Glossary of Statistical Terms; Appendix
A: Details of data files; Appendix B: Using Syntax
Julie Pallant has spent the past 25 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.