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. 5 star Amazon review:"This is the book I wish I had whilst studying SPSS and experimental design on my MSc in social research methods. It is the clearest guide to SPSS that I have come across and it is very practical and easy to use. It has allowed me to revise statistical methods in a matter of days and I have gained a better understanding of these techniques than I had through using other much lengthier texts."
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The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software
PrefaceData files and websitePart OneGetting started 1 Designing a study 2 Preparing a codebook3 Getting to know IBM SPSS Part TwoPreparing the data file4 Creating a data file and entering data 5 Screening and cleaning the data Part ThreePreliminary analyses6 Descriptive statistics7 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 FourStatistical techniques to explore relationships among variables11 Correlation 12 Partial correleation 13 Multiple regression 14 Logistic regression 15 Factor analysisPart FiveStatistical techniques to compare groups16 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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Produktdetaljer

ISBN
9780335261543
Publisert
2016-04-16
Utgave
6. utgave
Utgiver
Vendor
Open University Press
Vekt
768 gr
Høyde
252 mm
Bredde
225 mm
Dybde
29 mm
Aldersnivå
05, 06, U, P
Språk
Product language
Engelsk
Format
Product format
Spiral
Antall sider
370

Forfatter

Biographical note

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.