
Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!
| An Overview of SPSS for Windows Step-by-Step | |
| SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option | |
| Creating and Editing a Data File | |
| Managing Data:Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files | |
| GRAPHS: Creating and editing graphs and charts | ... MORE |
| Base System Module | |
| Frequencies: Frequencies, bar charts, histograms,percentiles | |
| Descriptive Statistics:Measures of central tendency, variability, deviation from normality, size, and stability | |
| crosstabulation and Chi-Square(2)Analyses | |
| The Means Procedure | |
| Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix | |
| The T Test Procedure: Independent-samples, paired-samples, and one-sample tests | |
| The One-Way Anova Procedure:One-way Analysis of Variance | |
| General Linear Models: Two-WayAnalysis of Variance | |
| General Linear Models: Three-WayAnalysis of Variance and the influence of covariates | |
| Simple Linear Regression | |
| Multiple Regression Analysis | |
| Nonparametric Procedures | |
| Reliability ANALYSIS: Coefficient alpha () and split-half reliability | |
| Multidimensional Scaling | |
| FACTOR analysis | |
| Cluster Analysis | |
| Discriminant Analysis | |
| Advanced and Regression Modules | |
| General Linear Models: Manova and Mancova:Multivariate Analysis of Variance and Covariance | |
| General Linear Models: Repeated-Measures | |
| Manova: Multivariate Analysis of Variance with repeated measures and within-subjects factors | |
| Logistic Regression | |
| Hierarchical Loglinear Models | |
| General Loglinear Models | |
| Residuals: Analyzing left-over variance | |
| Data Files | |
| Glossary | |
| References | |
| Index | |
| Table of Contents provided by Publisher. All Rights Reserved. |