SPSS Survival Manual
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SPSS Survival Manual er haldreipi fyrir nemendur og rannsakendur sem takast á við þennan öfluga hugbúnað til gagnagreiningar. Í þessari metsölubók leiðir Julie Pallant lesendur í gegnum allt rannsóknarferlið og aðstoðar þá við að velja rétta gagnagreiningaraðferð fyrir verkefnið. Hún fjallar um allt frá mótun rannsóknarspurninga og hönnun rannsóknar til gagnagreiningar og framsetningar niðurstaðna og útskýrir bæði grunnatriði og ítarlegri tölfræðiaðferðir.
Hver aðferð er útskýrð á skýran hátt með leiðbeiningum skref fyrir skref um framkvæmd greiningarinnar, ítarlegum leiðbeiningum um túlkun niðurstaðna og dæmum um framsetningu þeirra í skýrslu. Bókin er ríkulega myndskreytt með skjámyndum og dæmum um úttak auk gagnlegra ábendinga. Á vef bókarinnar má finna sýnigögn og leiðbeiningar um skýrslugerð. Þessi áttunda útgáfa hefur verið endurskoðuð og uppfærð með hliðsjón af breytingum á aðferðum, skjámyndum og úttaki í IBM SPSS Statistics Version 31.
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.
Nánar um bókina
- Taylor & Francis
- 9781040613375
- 9781041096535
- ePub
- 8
- Julie Pallant
- English
- 2026-03-11
- 100
- 2
- 2
Kaflar
- Cover
- Endorsements
- Half Title
- Title
- Copyright
- Contents
- List of figures
- List of tables
- About the author
- 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
- Glossary of statistical terms
- Appendix A: Details of data files
- Appendix B: Using syntax
- Recommended reading
- References
- Index