TY - BOOK AU - George,Darren AU - Mallery,Paul TI - SPSS for Windows step by step: a simple guide and reference, 11.0 update SN - 0205375529 AV - HA32 .G457 2002 U1 - 005.369 PY - 2003/// CY - Boston PB - Allyn and Bacon KW - SPSS for Windows KW - SPSS pour Windows (Logiciel) KW - fast KW - Social sciences KW - Statistical methods KW - Computer programs KW - Sciences sociales KW - M�ethodes statistiques KW - Logiciels KW - Statistics as Topic KW - methods N1 - Includes bibliographical references (pages 379-380) and index; 1; An Overview of SPSS for Windows Step by Step; 1 --; 2; SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option; 9 --; 3; Creating and Editing a Data File; 27 --; 4; Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files; 43 --; 5; Graphs: Creating and editing graphs and charts; 67 --; Base System Module --; 6; Frequencies: Frequencies, bar charts, histograms, percentiles; 83 --; 7; Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size, and stability; 95 --; 8; Crosstabulation and Chi-Square (x[superscript 2]) Analyses; 105 --; 9; The Means Procedure; 115 --; 10; Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix; 123 --; 11; The T Test Procedure: Independent-samples, paired-samples, and one-sample tests; 133 --; 12; The One-Way Anova Procedure: One-way Analysis of Variance; 143 --; 13; General Linear Models: Two-Way Analysis of Variance; 153 --; 14; General Linear Models: Three-Way Analysis of Variance and the influence of covariates; 161 --; 15; Simple Linear Regression; 177 --; 16; Multiple Regression Analysis; 191 --; 17; Nonparametric Procedures; 207 --; 18; Reliability Analysis: Coefficient alpha ([alpha]) and split-half reliability; 221 --; 19; Multidimensional Scaling; 233 --; 20; Factor Analysis; 245 --; 21; Cluster Analysis; 261 --; 22; Discriminant Analysis; 277 --; Advanced and Regression Modules --; 23; General Linear Models: Manova and Mancova: Multivariate Analysis of Variance and Covariance; 293 --; 24; General Linear Models: Repeated-Measures Manova: Multivariate Analysis of Variance with repeated measures and within-subjects factors; 309 --; 25; Logistic Regression; 321 --; 26; Hierarchical Loglinear Models; 333 --; 27; General Loglinear Models; 347 --; 28; Residuals: Analyzing left-over variance; 357 --; Data Disk; 365; Also issued online ER -