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SPSS survival manual : a step-by-step guide to data analysis using SPSS for Windows (Version 10) / Julie Pallant.

Κατά: Τύπος υλικού: ΚείμενοΚείμενοΛεπτομέρειες δημοσίευσης: Crows Nest, N.S.W. : Allen & Unwin, 2001.Περιγραφή: 1 online resource (xvi, 286 pages) : illustrationsΤύπος περιεχομένου:
  • text
Τύπος υλικού:
  • computer
Τύπος φορέα:
  • online resource
ISBN:
  • 1741151295
  • 9781741151299
Θέμα(τα): Είδος/Μορφή: Επιπρόσθετες φυσικές μορφές: Print version:: SPSS survival manual.; Print version:: SPSS survival manual.Ταξινόμηση DDC:
  • 519.5/0285/536 22
LOC classification:
  • HA32 P35 2001eb
Πηγές στο διαδίκτυο:
Περιεχόμενα:
Part I. Getting Started: 1. Designing a study; 2. Preparing a codebook; 3. Getting to know SPSS -- Part II. Preparing the Data File: 4. Creating a data file and entering data; 4. Screening and cleaning the data -- Part III. 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 IV. Statistical Techniques to Explore Relationships Among Variables: 11. Correlation; 12. Partial correlation; 13. Multiple regression; 14. Factor analysis -- Part V. Statistical Techniques fo Compare Groups: 15. T-tests; 16. One-way analysis of variance; 17. Two-way between-groups ANOVA; 18. Mixed between-within subjects analysis of variance; 19. Multivariate analysis of variance; 20. Analysis of covariance; 21. Non-parametric statistics -- Appendix. Details of data files.
Περίληψη: Provides students and researchers with an easy-to-follow guide through the often daunting process of analysing data. Using a friendly style and minimal statistical and mathematical jargon, the author shows how to use the leading international social science data analysis computer program SPSS for Windows.
Δεν αντιστοιχούν φυσικά τεκμήρια σε αυτήν την εγγραφή

Includes bibliographical references (pages 279-281) and index.

Part I. Getting Started: 1. Designing a study; 2. Preparing a codebook; 3. Getting to know SPSS -- Part II. Preparing the Data File: 4. Creating a data file and entering data; 4. Screening and cleaning the data -- Part III. 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 IV. Statistical Techniques to Explore Relationships Among Variables: 11. Correlation; 12. Partial correlation; 13. Multiple regression; 14. Factor analysis -- Part V. Statistical Techniques fo Compare Groups: 15. T-tests; 16. One-way analysis of variance; 17. Two-way between-groups ANOVA; 18. Mixed between-within subjects analysis of variance; 19. Multivariate analysis of variance; 20. Analysis of covariance; 21. Non-parametric statistics -- Appendix. Details of data files.

Provides students and researchers with an easy-to-follow guide through the often daunting process of analysing data. Using a friendly style and minimal statistical and mathematical jargon, the author shows how to use the leading international social science data analysis computer program SPSS for Windows.

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Πανεπιστήμιο Πατρών, Βιβλιοθήκη & Κέντρο Πληροφόρησης, 265 04, Πάτρα
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