Catalogue

Record Details

Catalogue Search



Data analysis using SAS Enterprise guide  Cover Image E-book E-book

Data analysis using SAS Enterprise guide / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino.

Meyers, Lawrence S. (Author). Gamst, Glenn. (Added Author). Guarino, A. J. (Added Author).

Summary:

This book presents the basic procedures for using SAS Enterprise Guide to analyse statistical data.

Record details

  • ISBN: 0511603681
  • ISBN: 0511604467
  • ISBN: 0511651678
  • ISBN: 0511804784
  • ISBN: 9780511603686
  • ISBN: 9780511604461
  • ISBN: 9780511651670
  • ISBN: 9780511804786
  • Physical Description: 1 online resource (xix, 378 pages) : illustrations
  • Publisher: Cambridge ; Cambridge University Press, 2009.

Content descriptions

General Note:
CatMonthString:april.19
Multi-User.
Title from title screen.
Bibliography, etc. Note:
Includes bibliographical references and indexes.
Formatted Contents Note:
Part I. Introducing SAS Enterprise Guide: 1. SAS Enterprise Guide projects; 2. Placing data into SAS Enterprise Guide projects; Part II. Performing and Viewing Output: 3. Performing statistical analyses in SAS Enterprise Guide; 4. Managing and viewing output; Part III. Manipulating Data: 5. Sorting data and selecting cases; 6. Recoding existing variables; 7. Computing new variables; Part IV. Describing Data: 8. Descriptive statistics; 9. Graphing data; 10. Standardizing variables based on the sample data; 11. Standardizing variables based on existing norms; Part V. Score Distribution Issues: 12. Detecting outliers; 13. Assessing normality; 14. Nonlinearly transforming variables in order to meet underlying assumptions; Part VI. Correlation and Prediction: 15. Bivariate correlation: Pearson product moment and Spearman rho correlations; 16. Simple linear regression; 17. Multiple linear regression; 18. Simple logistic regression; 19. Multiple logistic regression; Part VII. Comparing Means t Tests: 20. Independent groups t test; 21. Correlated samples t test; 22. Single sample t test; Part VIII. Comparing means ANOVA: 23. One-way between subjects analysis of variance; 24. Two-way between subjects design; 25. One-way within subjects analysis of variance; 26. Two-way mixed ANOVA design; Part IX. Nonparametric Procedures: 27. One-way chi square; 28. Two-way chi square; 29. Nonparametric between subjects one-way ANOVA; Part X. Advanced ANOVA Techniques: 30. One-way between subjects analysis of covariance; 31. One-way between subjects multivariate analysis of variance; Part XI. Analysis of Structure: 32. Factor analysis; 33. Canonical correlation analysis.
Type of Computer File or Data Note:
Text (HTML), electronic book.
System Details Note:
Mode of access: Internet.
Terms Governing Use and Reproduction Note:
Access requires VIU IP addresses and is restricted to VIU students, faculty and staff.
Access restricted by subscription.
Issuing Body Note:
Made available online by EBSCO.
Subject: Enterprise guide.
SAS (Computer file)
Enterprise guide.
SAS (Computer file)
Enterprise guide.
SAS (Computer file)
Mathematical statistics > Data processing.
Social sciences > Statistical methods > Data processing.
BUSINESS & ECONOMICS > Economics > General.
BUSINESS & ECONOMICS > Reference.
Mathematical statistics > Data processing.
Social sciences > Statistical methods > Data processing.
Genre: Electronic books.


Additional Resources