Authors: Ron P. Cody, Jeffrey Smith, Jeffrey K. Smith
ISBN-13: 9780131465329, ISBN-10: 0131465325
Format: Paperback
Publisher: Prentice Hall
Date Published: March 2005
Edition: 5th Edition
Applied Statistics and the SAS Programming Language 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.
Examples have been selected from business, medicine, education, psychology, and other disciplines.
Ch. 1 | A SAS Tutorial | 1 |
Ch. 2 | Describing Data | 22 |
Ch. 3 | Analyzing Categorical Data | 58 |
Ch. 4 | Working with Date and Longitudinal Data | 101 |
Ch. 5 | Correlation and Regression | 115 |
Ch. 6 | T-tests and Nonparametric Comparisons | 138 |
Ch. 7 | Analysis of Variance | 150 |
Ch. 8 | Repeated Measures Designs | 181 |
Ch. 9 | Multiple-Regression Analysis | 221 |
Ch. 10 | Factor Analysis | 250 |
Ch. 11 | Psychometrics | 265 |
Ch. 12 | The SAS INPUT Statement | 280 |
Ch. 13 | External Files: Reading and Writing Raw and System Files | 298 |
Ch. 14 | Data Set Subsetting, Concatenating, Merging, and Updating | 319 |
Ch. 15 | Working with Arrays | 329 |
Ch. 16 | Restructuring SAS Data Sets Using Arrays | 343 |
Ch. 17 | A Review of SAS Functions: Part I. Functions other than character functions | 353 |
Ch. 18 | A Review of SAS Functions: Part II. Character Functions | 364 |
Ch. 19 | Selected Programming Examples | 382 |
Ch. 20 | Syntax Examples | 395 |
Problem Solutions | 404 | |
Index | 439 |