Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics

Heftet / 2005 / Engelsk

Produktdetaljer

ISBN13
9780471469445
Publisert
2005
Utgiver
Vendor
John Wiley & Sons Inc
Aldersnivå
06, P
Språk
Product language
Engelsk
Format
Product format
Heftet
Sider
550
Vekt
1348 gr
Høyde
279 mm
Bredde
211 mm
Tykkelse
29 mm
Se alle

Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics

Heftet / 2005 / Engelsk
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).
Les mer
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.
Les mer
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.
Les mer
Norm O' Rourke, ?Ph.D., R. Psych., is a clinical psychologist and assistant professor in the Department of Geontology at Simon Fraser University in Vancouver, Bristish Columbia, and an associate member of the SFU Department of Psychology. Dr. O'Rourke's areas of research interest include mental illness and well-being, marriage in later life, and test construction and validation. He has lived and worked in Canada, the United States, Europe, and Israel. Larry Hatcher, Ph.D., is a professor of psychology at Saginaw Valley State University in Saginaw, Michigan, where he teaches courses in general psychology, industrial psychology, statistics, and computer applications in data analysis. The author of several books dealing with statistics and data analysis, Dr. Hatcher has taught at the college level since 1984, after earning his doctorate in industrial and organizational psychology from Bowling Green State University. Edward J. Stepanski, Ph.D., is the director of the Sleep Disorders Service and Research Center at Rush University Medical Center in Chicago and as associate professor of psychology and medicine at Rush Medical College. He uses data warehousing and computer analysis for a variety of research projects aimed at understanding sleep disorders and quantifying sleep-related daytime impairment. Dr. Stepanski earned his doctorate in clinical psychology from Bowling Green State University in 1985 and has written more than 50 papers and book chapters on sleep disorders medicine.
Les mer
Nettpris:
1.168,-
Levering 3-20 dager

Produktdetaljer

ISBN13
9780471469445
Publisert
2005
Utgiver
Vendor
John Wiley & Sons Inc
Aldersnivå
06, P
Språk
Product language
Engelsk
Format
Product format
Heftet
Sider
550
Vekt
1348 gr
Høyde
279 mm
Bredde
211 mm
Tykkelse
29 mm
Se alle