内容简介
This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
I Introducing SAS Enterprise Guide
1 SAS Enterprise Guide Projects 3
2 Placing Data into SAS Enterprise Guide Projects 13
II Performing Analyses and Viewing Output
3 Performing Statistical Analyses in SAS Enterprise Guide 25
4 Managing and Viewing Output 32III Manipulating Data
5 Sorting Data and Selecting Cases 43
6 Recoding Existing Variables 53
7 Computing New Variables 63
IV Describing Data
8 Descriptive Statistics 77
9 Graphing Data 91
10 Standardizing Variables Based on the Sample Data 104
11 Standardizing Variables Based on Existing Norms 111
V Score Distribution Assumptions
12 Detecting Outliers 119
13 Assessing Normality 130
VI Correlation and Prediction
14 Nonlinearly Transforming Variables in Order to Meet Underlying Assumptions 135
15 Bivariate Correlation: Pearson Product–Moment and Spearman Rho Correlations 155
16 Simple Linear Regression 162
17 Multiple Linear Regression 170
18 Simple Logistic Regression 177
19 Multiple Logistic Regression 185
VII Comparing Means: ThetTest
20 Independent-GroupstTest 195
21 Correlated-SamplestTest 201
22 Single-SampletTest 206
VIII Comparing Means: ANOVA
23 One-Way Between-Subjects ANOVA 213
24 Two-Way Between-Subjects Design 223
25 One-Way Within-Subjects ANOVA 238
26 Two-Way Mixed ANOVA Design 253
IX Nonparametric Procedures
27 One-Way Chi-Square 269
28 Two-Way Chi-Square 279
29 Nonparametric Between-Subjects One-Way ANOVA 291
X Advanced ANOVA Techniques
30 One-Way Between-Subjects Analysis of Covariance 299
31 One-Way Between-Subjects Multivariate Analysis of Variance 313
XI Analysis of Structure
32 Factor Analysis 327
33 Canonical Correlation Analysis 345
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