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A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, 2nd Edition

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, 2nd Edition

Norm O'Rourke, Larry Hatcher, Edward J. Stepanski, SAS Institute, Inc.

ISBN: 978-0-471-46944-5

Aug 2005

550 pages

Select type: Paperback

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$122.00

Description

One in a series of books co-published with SAS, this book provides a user-friendly introduction to both the SAS system and elementary statistical procedures for researchers and students in the Social Sciences. This Second Edition, updated to cover version 9 of the SAS software, guides readers step by step through the basic concepts of research and data analysis, to data input, and on to ANOVA (analysis of variance) and MANOVA (multivariate analysis of variance).

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A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition

This item: A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, 2nd Edition

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, 2nd Edition

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An Introduction to Categorical Data Analysis, 2nd Edition

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Acknowledgments.

Using This Book.

Chapter 1. Basic Concepts in Research and Data Analysis.

Chapter 2. Introduction to SAS Programs, SAS LOGs, and SAS Output.

Chapter 3. Data Input.

Chapter 4. Working with Variables and Observations in SAS Datasets.

Chapter 5. Exploring Data with PROC MEANS, PROC FREQ, PROC PRINT, and PROC UNIVARIATE.

Chapter 6. Measures of  Bivariate Association.

Chapter 7. Assessing Scale Reliability with Coefficient Alpha.

Chapter 8. t Tests: Independent Samples and Paired Samples.

Chapter 9. One-Way ANOVA with One Between-Subjects Factor.

Chapter 10. Factorial ANOVA with Two Between-Subjects Factors.

Chapter 11. Multivariate Analysis of Variance (MANOVA) with One Between-Subjects Factor.

Chapter 12. One-Way ANOVA with One Repeat-Measures Factor.

Chapter 13. Factorial ANOVA with Repeated-Measures Factors and Between-Subjects Factor.

Chapter 14. Multiple Regression.

Chapter 15. Principal Component Analysis.

Appendix A: Choosing the Correct Statistic.

Appendix B: Datasets.

Appendix C: Critical Values of the F Distribution.

Index.