
Data Analysis Using Sas Enterprise Guide
by Lawrence S. Meyers , Glenn Gamst , A. J. Guarino-
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Summary
Table of Contents
Introducing SAS Enterprise Guide | |
SAS Enterprise Guide projects | |
Placing data into SAS Enterprise Guide projects | |
Performing and Viewing Output | |
Performing statistical analyses in SAS Enterprise Guide | |
Managing and viewing output | |
Manipulating Data | |
Sorting data and selecting cases | |
Recoding existing variables | |
Computing new variables | |
Describing Data | |
Descriptive statistics | |
Graphing data | |
Standardizing variables based on the sample data | |
Standardizing variables based on existing norms | |
Score Distribution Issues | |
Detecting outliers | |
Assessing normality | |
Nonlinearly transforming variables in order to meet underlying assumptions | |
Correlation and Prediction | |
Bivariate correlation: Pearson product moment and Spearman rho correlations | |
Simple linear regression | |
Multiple linear regression | |
Simple logistic regression | |
Multiple logistic regression | |
Comparing Means t Tests | |
Independent groups t test | |
Correlated samples t test | |
Single sample t test | |
Comparing means ANOVA | |
One-way between subjects analysis of variance | |
Two-way between subjects design | |
One-way within subjects analysis of variance | |
Two-way mixed ANOVA design | |
Nonparametric Procedures | |
One-way chi square | |
Two-way chi square | |
Nonparametric between subjects one-way ANOVA | |
Advanced ANOVA Techniques | |
One-way between subjects analysis of covariance | |
One-way between subjects multivariate analysis of variance | |
Analysis of Structure | |
Factor analysis | |
Canonical correlation analysis | |
Table of Contents provided by Publisher. All Rights Reserved. |
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