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SPSS Survival Manual: A Step by Step Guide to Data Analysis using IBM SPSS 7th edition [Minkštas viršelis]

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  • Formatas: Paperback / softback, 380 pages, aukštis x plotis x storis: 255x200x22 mm, weight: 790 g
  • Išleidimo metai: 09-Apr-2020
  • Leidėjas: Open University Press
  • ISBN-10: 0335249493
  • ISBN-13: 9780335249497
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 380 pages, aukštis x plotis x storis: 255x200x22 mm, weight: 790 g
  • Išleidimo metai: 09-Apr-2020
  • Leidėjas: Open University Press
  • ISBN-10: 0335249493
  • ISBN-13: 9780335249497
Kitos knygos pagal šią temą:
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.



In her bestselling guide, Julie Pallant takes you through the entire research process, helping you choose the right data analysis technique for your project. This edition has been updated to include up to SPSS version 26. 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. It is illustrated throughout with screen grabs, examples of output and tips, and is also further 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 procedures.
Preface ix
Data files and website xi
Introduction and overview xiii
Part One Getting started
1(24)
1 Designing a study
3(8)
2 Preparing a codebook
11(4)
3 Getting to know IBM SPSS Statistics
15(10)
Part Two Preparing the data file
25(26)
4 Creating a data file and entering data
27(17)
5 Screening and cleaning the data
44(7)
Part Three Preliminary analyses
51(76)
6 Descriptive statistics
53(15)
7 Using graphs to describe and explore the data
68(17)
8 Manipulating the data
85(17)
9 Checking the reliability of a scale
102(5)
10 Choosing the right statistic
107(20)
Part Four Statistical techniques to explore relationships among variables
127(84)
11 Correlation
135(13)
12 Partial correlation
148(5)
13 Multiple regression
153(22)
14 Logistic regression
175(13)
15 Factor analysis
188(23)
Part Five Statistical techniques to compare groups
211(126)
16 Non-parametric statistics
221(30)
17 T-tests
251(11)
18 One-way analysis of variance
262(19)
19 Two-way between-groups ANOVA
281(9)
20 Mixed between-within subjects analysis of variance
290(10)
21 Multivariate analysis of variance
300(15)
22 Analysis of covariance
315(22)
Appendix: Details of data files 337(13)
Recommended reading 350(3)
References 353(5)
Index 358
Julie Pallant has spent many years helping students overcome statistics phobia. She is currently a research coordinator in the Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, Australia. Previously she has also worked as an applied statistics lecturer, counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.