Applied statistics and the SAS programming language

This book is intended to provide the applied researcher with the capacity to perform statistical analyses with SAS software without wading through pages of technical documentation. The researcher is provided with the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Ch. 1. A Sas Tutorial -- Ch. 2. Describing Data -- Ch. 3. Analyzing Categorical Data -- Ch. 4. Working With Date And Longitudinal Data -- Ch. 5. Correlation And Regression -- Ch. 6. T-tests And Nonparametric Comparisons -- Ch. 7. Analysis Of Variance -- Ch. 8. Repeated Measures Designs -- Ch. 9. Multiple-regression Analysis -- Ch. 10. Factor Analysis -- Ch. 11. Psychometrics -- Ch. 12. The Sas Input Statement -- Ch. 13. External Files: Reading And Writing Raw And System Files -- Ch. 14. Data Set Subsetting, Concatenating, Merging, And Updating -- Ch. 15. Working With Arrays -- Ch. 16. Restructuring Sas Data Sets Using Arrays -- Ch. 17. A Review Of Sas Functions: Part I. Functions Other Than Character Functions. Ronald P. Cody, Jeffrey K. Smith. Includes Index. Ideal for students and applied researchers, this text provides instruction on using the SAS system for the statistical analysis of data. It assumes no previous knowledge of SAS. The book covers the necessary SAS statements to run programs for the most commonly used statistics. It explains the computer output, teaches how to interpret the results, and gives examples of how to construct tables and write up results for reports and journal articles.